Keynotes

• 
  W. Tecumseh Fitch: The evolution of spoken language: a comparative approach.
• 
  Steve Young: Talking to machines (statistically speaking).

Speech Recognition in Noise - I

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  Duncan Macho, Laurent Mauuary, Bernhard Noé, Yan Ming Cheng, Douglas Ealey, Denis Jouvet, Holly Kelleher, David Pearce, Fabien Saadoun: Evaluation of a noise-robust DSR front-end on Aurora databases.
• 
  André Gustavo Adami, Lukás Burget, Stéphane Dupont, Harinath Garudadri, Frantisek Grézl, Hynek Hermansky, Pratibha Jain, Sachin S. Kajarekar, Nelson Morgan, Sunil Sivadas: Qualcomm-ICSI-OGI features for ASR.
• 
  Michael Kleinschmidt, David Gelbart: Improving word accuracy with Gabor feature extraction.
• 
  Jasha Droppo, Li Deng, Alex Acero: Evaluation of SPLICE on the Aurora 2 and 3 tasks.
• 
  Brian Kan-Wing Mak, Yik-Cheung Tam: Performance of discriminatively trained auditory features on Aurora2 and Aurora3.
• 
  José C. Segura, M. Carmen Benítez, Ángel de la Torre, Antonio J. Rubio: Feature extraction combining spectral noise reduction and cepstral histogram equalization for robust ASR.
• 
  Jingdong Chen, Dimitris Dimitriadis, Hui Jiang, Qi Li, Tor André Myrvoll, Olivier Siohan, Frank K. Soong: Bell labs approach to Aurora evaluation on connected digit recognition.
• 
  Hong Kook Kim, Richard C. Rose: Algorithms for distributed speech recognition in a noisy automobile environment.
• 
  Florian Hilger, Sirko Molau, Hermann Ney: Quantile based histogram equalization for online applications.
• 
  Chia-Ping Chen, Karim Filali, Jeff A. Bilmes: Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases.
• 
  Masaki Ida, Satoshi Nakamura: HMM COmposition-based rapid model adaptation using a priori noise GMM adaptation evaluation on Aurora2 corpus.
• 
  Jeih-Weih Hung, Lin-Shan Lee: Data-driven temporal filters obtained via different optimization criteria evaluated on Aurora2 database.
• 
  Bojan Kotnik, Damjan Vlaj, Zdravko Kacic, Bogomir Horvat: Efficient additive and convolutional noise reduction procedures.
• 
  Markus Lieb, Alexander Fischer: Progress with the philips continuous ASR system on the Aurora 2 noisy digits database.
• 
  Jian Wu, Qiang Huo: An environment compensated minimum classification error training approach and its evaluation on Aurora2 database.
• 
  Kaisheng Yao, Donglai Zhu, Satoshi Nakamura: Evaluation of a noise adaptive speech recognition system on the Aurora 3 database.
• 
  Laura Docío Fernández, Carmen García-Mateo: Distributed speech recognition over IP networks on the Aurora 3 database.
• 
  Masakiyo Fujimoto, Yasuo Ariki: Evaluation of noisy speech recognition based on noise reduction and acoustic model adaptation on the Aurora2 tasks.
• 
  George Saon, Juan M. Huerta: Improvements to the IBM Aurora 2 multi-condition system.
• 
  Pratibha Jain, Hynek Hermansky, Brian Kingsbury: Distributed speech recognition using noise-robust MFCC and traps-estimated manner features.
• 
  Norihide Kitaoka, Seiichi Nakagawa: Evaluation of spectral subtraction with smoothing of time direction on the Aurora 2 task.
• 
  Xiaodong Cui, Markus Iseli, Qifeng Zhu, Abeer Alwan: Evaluation of noise robust features on the Aurora databases.
• 
  Nicholas W. D. Evans, John S. D. Mason: Computationally efficient noise compensation for robust automatic speech recognition assessed under the Aurora 2/3 framework.
• 
  Omar Farooq, S. Datta: Mel-scaled wavelet filter based features for noisy unvoiced phoneme recognition.
• 
  Kazuo Onoe, Hiroyuki Segi, Takeshi Kobayakawa, Shoei Sato, Toru Imai, Akio Ando: Filter bank subtraction for robust speech recognition.
• 
  Andrew C. Morris, Simon Payne, Hervé Bourlard: Low cost duration modelling for noise robust speech recognition.
• 
  Yifan Gong: A comparative study of approximations for parallel model combination of static and dynamic parameters.
• 
  Petr Motlícek, Lukás Burget: Noise estimation for efficient speech enhancement and robust speech recognition.
• 
  Özgür Çetin, Harriet J. Nock, Katrin Kirchhoff, Jeff A. Bilmes, Mari Ostendorf: The 2001 GMTK-based SPINE ASR system.
• 
  Wei-Wen Hung: Using adaptive signal limiter together with weighting techniques for noisy speech recognition.
• 
  Shingo Yamade, Kanako Matsunami, Akira Baba, Akinobu Lee, Hiroshi Saruwatari, Kiyohiro Shikano: Spectral subtraction in noisy environments applied to speaker adaptation based on HMM sufficient statistics.
• 
  Man-Hung Siu, Yu-Chung Chan: Robust speech recognition against short-time noise.
• 
  Mario Toma, Andrea Lodi, Roberto Guerrieri: Word endpoints detection in the presence of non-stationary noise.
• 
  Pere Pujol Marsal, Susagna Pol, Astrid Hagen, Hervé Bourlard, Climent Nadeu: Comparison and combination of RASTA-PLP and FF features in a hybrid HMM/MLP speech recognition system.
• 
  Tao Xu, Zhigang Cao: Robust MMSE-FW-LAASR scheme at low SNRs.
• 
  András Zolnay, Ralf Schlüter, Hermann Ney: Robust speech recognition using a voiced-unvoiced feature.
• 
  Febe de Wet, Johan de Veth, Bert Cranen, Lou Boves: Accumulated kullback divergence for analysis of ASR performance in the presence of noise.
• 
  Brian Kingsbury, Pratibha Jain, André Gustavo Adami: A hybrid HMM/traps model for robust voice activity detection.
• 
  Chengyi Zheng, Yonghong Yan: Run time information fusion in speech recognition.
• 
  Jon A. Arrowood, Mark A. Clements: Using observation uncertainty in HMM decoding.
• 
  Matthew N. Stuttle, M. J. F. Gales: Combining a Gaussian mixture model front end with MFCC parameters.
• 
  Jasha Droppo, Alex Acero, Li Deng: Noise from corrupted speech log mel-spectral energies.
• 
  Carlos Lima, Luís B. Almeida, João L. Monteiro: Improving the role of unvoiced speech segments by spectral normalisation in robust speech recognition.
• 
  Venkata Ramana Rao Gadde, Andreas Stolcke, Dimitra Vergyri, Jing Zheng, M. Kemal Sönmez, Anand Venkataraman: Building an ASR system for noisy environments: SRI's 2001 SPINE evaluation system.

Experimental Phonetics

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  R. J. J. H. van Son, Louis C. W. Pols: Evidence for efficiency in vowel production.
• 
  Matthew P. Aylett: Stochastic suprasegmentals: relationship between the spectral characteristics of vowels, redundancy and prosodic structure.
• 
  J. Serkhane, Jean-Luc Schwartz, Louis-Jean Boë, B. Davis, C. Matyear: Motor specifications of a baby robot via the analysis of infants² vocalizations.
• 
  Laura L. Koenig, Jorge C. Lucero: Oral-laryngeal control patterns for fricatives in 5-year-olds and adults.
• 
  Véronique Delvaux, Thierry Metens, Alain Soquet: French nasal vowels: acoustic and articulatory properties.

Speech Recognition: Adaptation

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  Patrick Kenny, Gilles Boulianne, Pierre Dumouchel: Maximum likelihood estimation of eigenvoices and residual variances for large vocabulary speech recognition tasks.
• 
  Ernest Pusateri, Timothy J. Hazen: Rapid speaker adaptation using speaker clustering.
• 
  Chao Huang, Tao Chen, Eric Chang: Adaptive model combination for dynamic speaker selection training.
• 
  Ka-Yan Kwan, Tan Lee, Chen Yang: Unsupervised n-best based model adaptation using model-level confidence measures.
• 
  Patrick Nguyen, Luca Rigazio, Christian Wellekens, Jean-Claude Junqua: LU factorization for feature transformation.
• 
  Guo-Hong Ding, Yi-Fei Zhu, Chengrong Li, Bo Xu: Implementing vocal tract length normalization in the MLLR framework.
• 
  Dong Kook Kim, Nam Soo Kim: Markov models based on speaker space model evolution.
• 
  Baojie Li, Keikichi Hirose, Nobuaki Minematsu: Robust speech recognition using inter-speaker and intra-speaker adaptation.
• 
  Carlos Lima, Luís B. Almeida, João L. Monteiro: Continuous environmental adaptation of a speech recogniser in telephone line conditions.
• 
  Irina Illina: Tree-structured maximum a posteriori adaptation for a segment-based speech recognition system.
• 
  Thomas Plötz, Gernot A. Fink: Robust time-synchronous environmental adaptation for continuous speech recognition systems.
• 
  Thomas Niesler, Daniel Willett: Unsupervised language model adaptation for lecture speech transcription.
• 
  Yongxin Li, Hakan Erdogan, Yuqing Gao, Etienne Marcheret: Incremental on-line feature space MLLR adaptation for telephony speech recognition.
• 
  Sirko Molau, Florian Hilger, Daniel Keysers, Hermann Ney: Enhanced histogram normalization in the acoustic feature space.
• 
  David N. Levin: Blind normalization of speech from different channels and speakers.
• 
  Jun Ogata, Yasuo Ariki: Unsupervised acoustic model adaptation based on phoneme error minimization.
• 
  Bowen Zhou, John H. L. Hansen: Improved structural maximum likelihood eigenspace mapping for rapid speaker adaptation.
• 
  Ángel de la Torre, Dominique Fohr, Jean Paul Haton: Statistical adaptation of acoustic models to noise conditions for robust speech recognition.
• 
  Fabio Brugnara, Mauro Cettolo, Marcello Federico, Diego Giuliani: Issues in automatic transcription of historical audio data.

Language Identification

• 
  Verna Stockmal, Zinny S. Bond: Same talker, different language: a replication.
• 
  A. K. V. Sai Jayram, V. Ramasubramanian, T. V. Sreenivas: Automatic language identification using acoustic sub-word units.
• 
  Ian Maddieson, Ioana Vasilescu: Factors in human language identification.
• 
  Pedro A. Torres-Carrasquillo, Elliot Singer, Mary A. Kohler, Richard J. Greene, Douglas A. Reynolds, John R. Deller Jr.: Approaches to language identification using Gaussian mixture models and shifted delta cepstral features.
• 
  Eddie Wong, Sridha Sridharan: Methods to improve Gaussian mixture model based language identification system.

Speech Synthesis

• 
  Hongyan Jing, Evelyne Tzoukermann: Part-of-speech tagging in French text-to-speech synthesis: experiments in tagset selection.
• 
  Ulla Uebler: Grapheme-to-phoneme conversion using pseudo-morphological units.
• 
  Maximilian Bisani, Hermann Ney: Investigations on joint-multigram models for grapheme-to-phoneme conversion.
• 
  Lucian Galescu, James F. Allen: Pronunciation of proper names with a joint n-gram model for bi-directional grapheme-to-phoneme conversion.
• 
  Matthias Jilka, Ann K. Syrdal: The AT&t German text-to-speech system: realistic linguistic description.
• 
  Haiping Li, Fangxin Chen, Liqin Shen: Generating script using statistical information of the context variation unit vector.
• 
  Chih-Chung Kuo, Jing-Yi Huang: Efficient and scalable methods for text script generation in corpus-based TTS design.
• 
  Peter Rutten, Matthew P. Aylett, Justin Fackrell, Paul Taylor: A statistically motivated database pruning technique for unit selection synthesis.
• 
  Yi-Jian Wu, Yu Hu, Xiaoru Wu, Ren-Hua Wang: A new method of building decision tree based on target information.
• 
  Junichi Yamagishi, Masatsune Tamura, Takashi Masuko, Keiichi Tokuda, Takao Kobayashi: A context clustering technique for average voice model in HMM-based speech synthesis.
• 
  Minoru Tsuzaki, Hisashi Kawai: Feature extraction for unit selection in concatenative speech synthesis: comparison between AIM, LPC, and MFCC.
• 
  Francisco Campillo Díaz, Eduardo Rodríguez Banga: Combined prosody and candidate unit selections for corpus-based text-to-speech systems.
• 
  Yeon-Jun Kim, Alistair Conkie: Automatic segmentation combining an HMM-based approach and spectral boundary correction.
• 
  Abhinav Sethy, Shrikanth S. Narayanan: Refined speech segmentation for concatenative speech synthesis.
• 
  Andrew P. Breen, Barry Eggleton, Peter Dion, Steve Minnis: Refocussing on the text normalisation process in text-to-speech systems.
• 
  Jithendra Vepa, Jahnavi Ayachitam, K. V. K. Kalpana Reddy: A text-to-speech synthesis system for telugu.
• 
  Diamantino Freitas, Daniela Braga: Towards an intonation module for a portuguese TTS system.
• 
  Takashi Saito, Masaharu Sakamoto: Applying a hybrid intonation model to a seamless speech synthesizer.
• 
  Toshio Hirai, Seiichi Tenpaku, Kiyohiro Shikano: Using start/end timings of spectral transitions between phonemes in concatenative speech synthesis.
• 
  Jinfu Ni, Hisashi Kawai: Design of a Mandarin sentence set for corpus-based speech synthesis by use of a multi-tier algorithm taking account of the varied prosodic and spectral characteristics.
• 
  Hiroki Mori, Takahiro Ohtsuka, Hideki Kasuya: A data-driven approach to source-formant type text-to-speech system.
• 
  Yu Shi, Eric Chang, Hu Peng, Min Chu: Power spectral density based channel equalization of large speech database for concatenative TTS system.
• 
  Helen M. Meng, Chi-Kin Keung, Kai-Chung Siu, Tien Ying Fung, P. C. Ching: CU VOCAL: corpus-based syllable concatenation for Chinese speech synthesis across domains and dialects.
• 
  Jinlin Lu, Hisashi Kawai: Perceptual evaluation of naturalness due to substitution of Chinese syllable for concatenative speech synthesis.
• 
  Dan Chazan, Ron Hoory, Zvi Kons, Dorel Silberstein, Alexander Sorin: Reducing the footprint of the IBM trainable speech synthesis system.
• 
  Sung-Joo Lee, Hyung Soon Kim: Computationally efficient time-scale modification of speech using 3 level clipping.
• 
  Zhiwei Shuang, Yu Hu, Zhen-Hua Ling, Ren-Hua Wang: A miniature Chinese TTS system based on tailored corpus.
• 
  Hoeun Song, Jaein Kim, Kyongrok Lee, Jinyoung Kim: Phonetic normalization using z-score in segmental prosody estimation for corpus-based TTS system.
• 
  Hideki Kawahara, Parham Zolfaghari, Alain de Cheveigné: On F0 trajectory optimization for very high-quality speech manipulation.
• 
  Tan Lee, Greg Kochanski, Chilin Shih, Yujia Li: Modeling tones in continuous Cantonese speech.
• 
  Minghui Dong, Kim-Teng Lua: Pitch contour model for Chinese text-to-speech using CART and statistical model.
• 
  Eva Navas, Inmaculada Hernáez, Juan María Sánchez: Basque intonation modelling for text to speech conversion.
• 
  Phuay Hui Low, Saeed Vaseghi: Application of microprosody models in text to speech synthesis.
• 
  Sheng Zhao, Jianhua Tao, Lianhong Cai: Prosodic phrasing with inductive learning.
• 
  Ben Milner, Xu Shao: Speech reconstruction from mel-frequency cepstral coefficients using a source-filter model.
• 
  Hiromichi Kawanami, Tsuyoshi Masuda, Tomoki Toda, Kiyohiro Shikano: Designing Japanese speech database covering wide range in prosody for hybrid speech synthesizer.

Multimodal Spoken Language Processing

• 
  Dirk Bühler, Wolfgang Minker, Jochen Häußler, Sven Krger: Flexible multimodal human-machine interaction in mobile environments.
• 
  Edward C. Kaiser, Philip R. Cohen: Implementation testing of a hybrid symbolic/statistical multimodal architecture.
• 
  Yoko Yamakata, Tatsuya Kawahara, Hiroshi G. Okuno: Belief network based disambiguation of object reference in spoken dialogue system for robot.
• 
  Jonas Beskow, Jens Edlund, Magnus Nordstrand: Specification and realisation of multimodal output in dialogue systems.
• 
  Francis K. H. Quek, Yingen Xiong, David McNeill: Gestural trajectory symmetries and discourse segmentation.
• 
  Francis K. H. Quek, David McNeill, Robert K. Bryll, Mary P. Harper: Gestural spatialization in natural discourse segmentation.
• 
  Kazuhiro Nakadai, Hiroshi G. Okuno, Hiroaki Kitano: Real-time sound source localization and separation for robot audition.
• 
  Jiyong Ma, Jie Yan, Ronald A. Cole: CU animate tools for enabling conversations with animated characters.
• 
  Philip R. Cohen, Rachel Coulston, Kelly Krout: Multiparty multimodal interaction: a preliminary analysis.
• 
  Peter Poller, Jochen Müller: Distributed audio-visual speech synchronization.
• 
  Philippe Daubias, Paul Deléglise: Lip-reading based on a fully automatic statistical model.
• 
  Xiaoxing Liu, Yibao Zhao, Xiaobo Pi, Luhong Liang, Ara V. Nefian: Audio-visual continuous speech recognition using a coupled hidden Markov model.
• 
  Laila Dybkjær, Niels Ole Bernsen: Data, annotation schemes and coding tools for natural interactivity.
• 
  Francis K. H. Quek, Yang Shi, Cemil Kirbas, Shunguang Wu: VisSTA: a tool for analyzing multimodal discourse data.

Perception: Non-Native

• 
  Stephen Lambacher, William L. Martens, Kazuhiko Kakehi: The influence of identification training on identification and production of the american English mid and low vowels by native speakers of Japanese.
• 
  Keiichi Tajima, Reiko Akahane-Yamada, Tsuneo Yamada: Perceptual learning of second-language syllable rhythm by elderly listeners.
• 
  Constance M. Clarke: Perceptual adjustment to foreign-accented English with short term exposure.
• 
  Denis K. Burnham, Ron Brooker: Absolute pitch and lexical tones: tone perception by non-musician, musician, and absolute pitch non-tonal language speakers.
• 
  Mirjam Broersma: Comprehension of non-native speech: inaccurate phoneme processing and activation of lexical competitors.

Dialog Systems I: Evaluation

• 
  Wolfgang Minker: Overview on recent activities in speech understanding and dialogue systems evaluation.
• 
  Marilyn A. Walker, Alexander I. Rudnicky, Rashmi Prasad, John S. Aberdeen, Elizabeth Owen Bratt, John S. Garofolo, Helen Wright Hastie, Audrey N. Le, Bryan L. Pellom, Alexandros Potamianos, Rebecca J. Passonneau, Salim Roukos, Gregory A. Sanders, Stephanie Seneff, David Stallard: DARPA communicator: cross-system results for the 2001 evaluation.
• 
  Marilyn A. Walker, Alexander I. Rudnicky, John S. Aberdeen, Elizabeth Owen Bratt, John S. Garofolo, Helen Wright Hastie, Audrey N. Le, Bryan L. Pellom, Alexandros Potamianos, Rebecca J. Passonneau, Rashmi Prasad, Salim Roukos, Gregory A. Sanders, Stephanie Seneff, David Stallard: DARPA communicator evaluation: progress from 2000 to 2001.
• 
  Gregory A. Sanders, Audrey N. Le, John S. Garofolo: Effects of word error rate in the DARPA communicator data during 2000 and 2001.
• 
  Candace L. Sidner, Clifton Forlines: Subset languages for conversing with collaborative interface agents.

Voice Conversion

• 
  Tomomi Watanabe, Takahiro Murakami, Munehiro Namba, Tetsuya Hoya, Yoshihisa Ishida: Transformation of spectral envelope for voice conversion based on radial basis function networks.
• 
  Oytun Türk, Levent M. Arslan: Subband based voice conversion.
• 
  Mikiko Mashimo, Tomoki Toda, Hiromichi Kawanami, Hideki Kashioka, Kiyohiro Shikano, Nick Campbell: Evaluation of cross-language voice conversion using bilingual and non-bilingual databases.
• 
  Joakim Gustafson, Kåre Sjölander: Voice transformations for improving children²s speech recognition in a publicly available dialogue system.

Spoken Language Resources

• 
  Susanne Burger, Victoria MacLaren, Hua Yu: The ISL meeting corpus: the impact of meeting type on speech style.
• 
  Ramón López-Cózar, Ángel de la Torre, José C. Segura, Antonio J. Rubio, Juan M. López-Soler: A new method for testing dialogue systems based on simulations of real-world conditions.
• 
  Thorsten Ludwig: Comfort noise detection and GSM-FR-codec detection for speech-quality evaluations in telephone networks.
• 
  Catia Cucchiarini, Diana Binnenpoorte: Validation and improvement of automatic phonetic transcriptions.
• 
  Shigeaki Amano, Kazumi Kato, Tadahisa Kondo: Development of Japanese infant speech database and speaking rate analysis.
• 
  Minghui Dong, Kim-Teng Lua: Automatic prosodic break labeling for Mandarin Chinese speech data.
• 
  Imed Zitouni, Joseph P. Olive, Dorota J. Iskra, Khalid Choukri, Ossama Emam, Oren Gedge, Emmanuel Maragoudakis, Herbert S. Tropf, Asunción Moreno, Albino Nogueiras Rodriguez, Barbara Heuft, Rainer Siemund: Orientel: speech-based interactive communication applications for the mediterranean and the middle east.
• 
  Yolanda Vazquez-Alvarez, Mark Huckvale: The reliability of the ITU-t p.85 standard for the evaluation of text-to-speech systems.
• 
  Kris Demuynck, Tom Laureys, Steven Gillis: Automatic generation of phonetic transcriptions for large speech corpora.
• 
  Wolfgang Minker: Overview on recent activities in speech understanding and dialogue systems evaluation.
• 
  Christina L. Bennett, Alexander I. Rudnicky: The carnegie mellon communicator corpus.
• 
  Tanja Schultz: Globalphone: a multilingual speech and text database developed at karlsruhe university.
• 
  Özgül Salor, Bryan L. Pellom, Tolga Çiloglu, Kadri Hacioglu, Mübeccel Demirekler: On developing new text and audio corpora and speech recognition tools for the turkish language.
• 
  Craig Martell: FORM: an extensible, kinematically-based gesture annotation scheme.
• 
  John-Paul Hosom: Automatic phoneme alignment based on acoustic-phonetic modeling.
• 
  Narendra K. Gupta, Srinivas Bangalore, Mazin G. Rahim: Extracting clauses for spoken language understanding in conversational systems.
• 
  F. Lefèvre, Hélène Bonneau-Maynard: Issues in the development of a stochastic speech understanding system.
• 
  Hartmut R. Pfitzinger: 10 years of phondat-II: a reassessment.

Speech Recognition: Search

• 
  Shankar Kumar, William Byrne: Risk based lattice cutting for segmental minimum Bayes-risk decoding.
• 
  Sascha Wendt, Gernot A. Fink, Franz Kummert: Dynamic search-space pruning for time-constrained speech recognition.
• 
  Raymond H. Lee, Eric H. C. Choi: A Gaussian selection method for multi-mixture HMM based continuous speech recognition.
• 
  Rong Dong, Jie Zhu: On use of duration modeling for continuous digits speech recognition.
• 
  Geoffrey Zweig, George Saon, François Yvon: Arc minimization in finite state decoding graphs with cross-word acoustic context.
• 
  Jing Zheng, Horacio Franco: Fast hierarchical grammar optimization algorithm toward time and space efficiency.
• 
  Sherif Abdou, Michael S. Scordilis: Dynamic tuning of language model score in speech recognition using a confidence measure.
• 
  Xiao Zhang, Yunxin Zhao: Minimum perfect hashing for fast n-gram language model lookup.
• 
  Xiang Li, Rita Singh, Richard M. Stern: Combining search spaces of heterogeneous recognizers for improved speech recogniton.

Auditory Models and Hearing Aids

• 
  Karel Pellant, Jan Mejzlík, Karel Prikryl, Zdenek Skvor: Transmission characteristics of outer ear canal.
• 
  James M. Kates: Hearing-aid benefits and limitations: predictions from a cochlear model.
• 
  Peggy B. Nelson, Jeffrey J. DiGiovanni, Robert S. Schlauch: A psychoacoustic basis for spectral sharpening.
• 
  Lisa G. Huettel, Leslie M. Collins: Model-based predictions of intensity discrimination for normal- and impaired-hearing listeners.
• 
  Peter F. Assmann, Terrance M. Nearey, Jack M. Scott: Modeling the perception of frequency-shifted vowels.
• 
  Carol L. Mackersie: The relationship between pure-tone sequential stream segregation and perceptual separation of male and female talkers by listeners with hearing loss.
• 
  Mathias Johansson, Mats Blomberg, Kjell Elenius, Lars-Erik Hoffsten, Anders Torberger: A phoneme recognizer for the hearing impaired.

Multi-Lingual and Non-Native Spoken Language Processing

• 
  Volker Fischer, Eric Janke, Siegfried Kunzmann: Likelihood combination and recognition output voting for the decoding of non-native speech with multilingual HMMs.
• 
  Pongtep Angkititrakul, John H. L. Hansen: Stochastic trajectory model analysis for accent classification.
• 
  Jilei Tian, Juha Häkkinen, Olli Viikki: Multilingual pronunciation modeling for improving multilingual speech recognition.
• 
  Jilei Tian, Juha Häkkinen, Søren Riis, Kåre Jean Jensen: On text-based language identification for multilingual speech recognition systems.
• 
  Bin Ma, Cuntai Guan, Haizhou Li, Chin-Hui Lee: Multilingual speech recognition with language identification.
• 
  Rathi Chengalvarayan: Robust HMM training for unified dutch and German speech recognition.
• 
  Sanjeev Khudanpur, Woosung Kim: Using cross-language cues for story-specific language modeling.
• 
  Bing Zhao, Stephan Vogel: Full-text story alignment models for Chinese-English bilingual news corpora.
• 
  Jayren J. Sooful, Elizabeth C. Botha: Comparison of acoustic distance measures for automatic cross-language phoneme mapping.
• 
  Xiaodong He, Yunxin Zhao: Maximum expected likelihood based model selection and adaptation for nonnative English speakers.
• 
  Nobuaki Minematsu, Gakuto Kurata, Keikichi Hirose: Integration of MLLR adaptation with pronunciation proficiency adaptation for non-native speech recognition.
• 
  Thu Nguyen, John Ingram: Native and vietnamese production of compound and phrasal stress patterns.

Prosody in Spoken Dialogue Systems

• 
  Johanneke Caspers: On the function of the late rise and the early fall in dutch dialogue: a perception experiment.
• 
  Anna Esposito, Susan Duncan, Francis K. H. Quek: Holds as gestural correlates to empty and filled speech pauses.
• 
  Toshihiko Itoh, Atsuhiko Kai, Tatsuhiro Konishi, Yukihiro Itoh: Linguistic and acoustic changes of user²s utterances caused by different dialogue situations.
• 
  Nigel Ward, Satoshi Nakagawa: Automatic user-adaptive speaking rate selection for information delivery.
• 
  Gabriel Skantze: Coordination of referring expressions in multimodal human-computer dialogue.
• 
  Loredana Cerrato: A comparison between feedback strategies in human-to-human and human-machine communication.
• 
  Courtney Darves, Sharon L. Oviatt: Adaptation of users² spoken dialogue patterns in a conversational interface.

Speaker Segmentation and Adaptation

• 
  Aaron E. Rosenberg, Allen L. Gorin, Zhu Liu, S. Parthasarathy: Unsupervised speaker segmentation of telephone conversations.
• 
  P. Sivakumaran, Aladdin M. Ariyaeeinia, J. Fortuna: An effective unsupervised scheme for multiple-speaker-change detection.
• 
  Jitendra Ajmera, Hervé Bourlard, I. Lapidot, Iain McCowan: Unknown-multiple speaker clustering using HMM.
• 
  Sylvain Meignier, Jean-François Bonastre, Ivan Magrin-Chagnolleau: Speaker utterances tying among speaker segmented audio documents using hierarchical classification: towards speaker indexing of audio databases.
• 
  Johnny Mariéthoz, Samy Bengio: A comparative study of adaptation methods for speaker verification.
• 
  Kevin R. Farrell: Speaker verification with data fusion and model adaptation.
• 
  Nikki Mirghafori, Larry P. Heck: An adaptive speaker verification system with speaker dependent a priori decision thresholds.

Spoken Language Understanding

• 
  Deb Roy, Peter Gorniak, Niloy Mukherjee, Joshua Juster: A trainable spoken language understanding system for visual object selection.
• 
  Frédéric Béchet, Allen L. Gorin, Jerry H. Wright, Dilek Z. Hakkani-Tür: Named entity extraction from spontaneous speech in how may i help you?
• 
  Caroline Bousquet-Vernhettes, Nadine Vigouroux: Recognition error processing for speech understanding.
• 
  Andrew N. Pargellis, Eric Fosler-Lussier, Augustine Tsai: Using part-of-speech tags, context thresholding, and trigram contexts to improve the auto-induction of semantic classes.
• 
  Ye-Yi Wang, Alex Acero, Ciprian Chelba, Brendan J. Frey, Leon Wong: Combination of statistical and rule-based approaches for spoken language understanding.
• 
  Guodong Xie, Chengqing Zong, Bo Xu: Chinese spoken language analyzing based on combination of statistical and rule methods.
• 
  Norbert Pfannerer: A maximum entropy semantic parser using word classes.

INTERSPEECH

• 
  Aparna Gurijala, John R. Deller Jr., Michael S. Seadle, John H. L. Hansen: Speech watermarking through parametric modeling.
• 
  Hong Kai Sze, Sh-Hussain Salleh: An education software in teaching automatic speech recognition (ASR).
• 
  Benfang Xiao, Cynthia Girand, Sharon L. Oviatt: Multimodal integration patterns in children.
• 
  Odette Scharenborg, Lou Boves, Johan de Veth: ASR in a human word recognition model: generating phonemic input for shortlist.
• 
  Chung-Hsien Wu, Yu-Hsien Chiu, Kung-Wei Cheng: Sign language translation using an error tolerant retrieval algorithm.
• 
  Oytun Türk, Omer Sayli, Helin Dutagaci, Levent M. Arslan: A sound source classification system based on subband processing.
• 
  Ying Zhang, Bing Zhao, Jie Yang, Alex Waibel: Automatic sign translation.
• 
  Stanley J. Wenndt, Edward J. Cupples, Richard M. Floyd: A study on the classification of whispered and normally phonated speech.
• 
  Kiyoshi Tatara, Taisuke Ito, Parham Zolfaghari, Kazuya Takeda, Fumitada Itakura: Experiments on recognition of lavalier microphone speech and whispered speech in real world environments.
• 
  Mamoru Iwaki, Hiromi Seki: An effect of amplitude modulation on perceptual segregation of tone sequences.
• 
  Eric Sanders, Marina B. Ruiter, Lilian Beijer, Helmer Strik: Automatic recognition of dutch dysarthric speech: a pilot study.
• 
  Olov Engwall: Evaluation of a system for concatenative articulatory visual speech synthesis.
• 
  Marc Sato, Jean-Luc Schwartz, Marie-Agnès Cathiard, Christian Abry, Hélène Loevenbruck: Intrasyllabic articulatory control constraints in verbal working memory.
• 
  Nick Campbell: Towards a grammar of spoken language: incorporating paralinguistic information.
• 
  Qun Li, Martin J. Russell: An analysis of the causes of increased error rates in children²s speech recognition.
• 
  Anne-Marie Öster: A new computer-based analytical speech perception test for prelingually deaf children and children with speech disorders.
• 
  Harriet J. Fell, Joel MacAuslan, Linda J. Ferrier, Susan G. Worst, Karen Chenausky: Vocalization age as a clinical tool.
• 
  Piero Cosi, Michael M. Cohen, Dominic W. Massaro: Baldini: baldi speaks italian!
• 
  Christian Cavé, Isabelle Guaïtella, Serge Santi: Eyebrow movements and voice variations in dialogue situations: an experimental investigation.

Large Vocabulary Speech Recognition

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  Ricardo de Córdoba, Javier Macías Guarasa, Javier Ferreiros, Juan Manuel Montero, José Manuel Pardo: State clustering improvements for continuous HMMs in a Spanish large vocabulary recognition system.
• 
  Tomaz Rotovnik, Mirjam Sepesy Maucec, Bogomir Horvat, Zdravko Kacic: A comparison of HTK, ISIP and julius in slovenian large vocabulary continuous speech recognition.
• 
  Lei Jia, Bo Xu: Parametric trajectory segment model for LVCSR.
• 
  Javier Dieguez-Tirado, Antonio Cardenal López: Efficient precalculation of LM contexts for large vocabulary continuous speech recognition.
• 
  Rathi Chengalvarayan: Integrating multiple pronunciations during MCE-based acoustic model training for large vocabulary speech recognition.
• 
  Tom Laureys, Vincent Vandeghinste, Jacques Duchateau: A hybrid approach to compounds in LVCSR.
• 
  Takehito Utsuro, Tetsuji Harada, Hiromitsu Nishizaki, Seiichi Nakagawa: A confidence measure based on agreement among multiple LVCSR models - correlation between pair of acoustic models and confidence.
• 
  Jan Nouza, Jindra Drabkova: Combining lexical and morphological knowledge in language model for inflectional (czech) language.
• 
  Long Nguyen, Xuefeng Guo, John Makhoul: Modeling frequent allophones in Japanese speech recognition.
• 
  Feili Chen, Jie Zhu, Wentao Song: The structure and its implementation of hidden dynamic HMM for Mandarin speech recognition.
• 
  Takahiro Shinozaki, Sadaoki Furui: A new lexicon optimization method for LVCSR based on linguistic and acoustic characteristics of words.
• 
  David Langlois, Kamel Smaïli, Jean Paul Haton: Retrieving phrases by selecting the history: application to automatic speech recognition.
• 
  Dong-Hoon Ahn, Minhwa Chung: Compact subnetwork-based large vocabulary continuous speech recognition.
• 
  Helin Dutagaci, Levent M. Arslan: A comparison of four language models for large vocabulary turkish speech recognition.

Integration of Speech Technology in Language Learning

• 
  Rebecca Hincks: Speech recognition for language teaching and evaluating: a study of existing commercial products.
• 
  Antoine Raux, Tatsuya Kawahara: Automatic intelligibility assessment and diagnosis of critical pronunciation errors for computer-assisted pronunciation learning.
• 
  Yukari Hirata: Effects of production training with visual feedback on the acquisition of Japanese pitch and durational contrasts.
• 
  Nobuaki Minematsu, Satoshi Kobashikawa, Keikichi Hirose, Donna Erickson: Acoustic modeling of sentence stress using differential features between syllables for English rhythm learning system development.
• 
  Kazunori Imoto, Yasushi Tsubota, Antoine Raux, Tatsuya Kawahara, Masatake Dantsuji: Modeling and automatic detection of English sentence stress for computer-assisted English prosody learning system.
• 
  Yasushi Tsubota, Tatsuya Kawahara, Masatake Dantsuji: Recognition and verification of English by Japanese students for computer-assisted language learning system.
• 
  Ambra Neri, Catia Cucchiarini, Helmer Strik: Feedback in computer assisted pronunciation training: technology push or demand pull?
• 
  Nobuaki Minematsu, Gakuto Kurata, Keikichi Hirose: Corpus-based analysis of English spoken by Japanese students in view of the entire phonemic system of English.
• 
  Debra M. Hardison: Computer-assisted second-language speech learning: generalization of prosody-focused training.
• 
  Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, Brian Tobin: Predicting oral reading miscues.
• 
  Chanwoo Kim, Wonyong Sung: Implementation of an intonational quality assessment system.
• 
  Yasuo Ariki, Jun Ogata: English call system with functions of speech segmentation and pronunciation evaluation using speech recognition technology.

Perception of Prosody

• 
  Hansjörg Mixdorff, Sudaporn Luksaneeyanawin, Hiroya Fujisaki, Patavee Charnvivit: Perception of tone and vowel quantity in Thai.
• 
  Keisuke Kinoshita, Dawn M. Behne, Takayuki Arai: Duration and F0 as perceptual cues to Japanese vowel quantity.
• 
  Makiko Muto, Hiroaki Kato, Minoru Tsuzaki, Yoshinori Sagisaka: Effects of intra-phrase position on acceptability of changes in segmental duration in sentence speech.
• 
  Dragana Barac-Cikoja, Sally Revoile: Perception of prosodic phrasing by hearing-impaired listeners.
• 
  Wendi A. Aasland, Shari R. Baum: Processing of temporal cues marking phrasal boundaries in individuals with brain damage.

Speech Enhancement I

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  Wolfgang Herbordt, J. Ying, Herbert Buchner, Walter Kellermann: A real-time acoustic human-machine front-end for multimedia applications integrating robust adaptive beamforming and stereophonic acoustic echo cancellation.
• 
  Ching-Ta Lu, Hsiao-Chuan Wang: Enhancement of single channel speech using perception-based wavelet transform.
• 
  L. Lin, W. H. Holmes, Eliathamby Ambikairajah: Speech enhancement based on a perceptual modification of wiener filtering.
• 
  Hagai Attias, Li Deng: A new approach to speech enhancement by a microphone array using EM and mixture models.
• 
  Sang-Gyun Kim, Chang D. Yoo: Acoustic echo cancellation based on m-channel IIR cosine-modulated filter bank.
• 
  Hiroshi Saruwatari, Katsuyuki Sawai, Akinobu Lee, Kiyohiro Shikano, Atsunobu Kaminuma, Masao Sakata: Speech enhancement in car environment using blind source separation.
• 
  Ilyas Potamitis, Nikos Fakotakis, George Kokkinakis: Speech enhancement based on combining perceptual enhancement and short-time spectral attenuation.
• 
  Takanobu Nishiura, Satoshi Nakamura, Yuka Okada, Takeshi Yamada, Kiyohiro Shikano: Suitable design of adaptive beamformer based on average speech spectrum for noisy speech recognition.
• 
  King Tam, Hamid Sheikhzadeh, Todd Schneider: Highly oversampled subband adaptive filters for noise cancellation on a low-resource DSP system.
• 
  Yi Hu, Philipos C. Loizou: A perceptually motivated subspace approach for speech enhancement.
• 
  Gwo-hwa Ju, Lin-Shan Lee: Speech enhancement based on generalized singular value decomposition approach.
• 
  Jong Uk Kim, Chang D. Yoo: Subspace speech enhancement using subband whitening filter.
• 
  Sungwook Chang, Sung-il Jung, Younghun Kwon, Sung-il Yang: Speech enhancement using wavelet packet transform.
• 
  Li Deng, Jasha Droppo, Alex Acero: Sequential MAP noise estimation and a phase-sensitive model of the acoustic environment.
• 
  Kazuhiro Nakadai, Hiroshi G. Okuno, Hiroaki Kitano: Auditory fovea based speech enhancement and its application to human-robot dialog system.
• 
  Erik M. Visser, Manabu Otsuka, Te-Won Lee: A spatio-temporal speech enhancement scheme for robust speech recognition.
• 
  Frédéric Berthommier, Seungjin Choi: Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation.
• 
  Hyoung-Gook Kim, Dietmar Ruwisch: Speech enhancement in non-stationary noise environments.
• 
  Mitsunori Mizumachi, Satoshi Nakamura: The 2ch hybrid subtractive beamformer applied to line sound sources.

Speech Recognition: In-Vehicle

• 
  Umit H. Yapanel, Xianxian Zhang, John H. L. Hansen: High performance digit recognition in real car environments.
• 
  Tetsuya Shinde, Kazuya Takeda, Fumitada Itakura: Multiple regression of log-spectra for in-car speech recognition.
• 
  Yifan Gong, Lorin Netsch: Experiments on speaker-independent voice command recognition using in-vehicle hands free speech.
• 
  Shubha Kadambe: Application of over-complete blind source separation for robust automatic speech recognition.
• 
  Françoise Beaufays, Daniel Boies, Mitch Weintraub: Porting channel robustness across languages.

Mechanisms for Dialogue Processing

• 
  Yasuhiro Takahashi, Kohji Dohsaka, Kiyoaki Aikawa: An efficient dialogue control method using decision tree-based estimation of out-of-vocabulary word attributes.
• 
  Jerome R. Bellegarda: Semantic inference: a data-driven solution for NL interaction.
• 
  Jerry H. Wright, Alicia Abella, Allen L. Gorin: Unified task knowledge for spoken language understanding and dialog management.
• 
  Yun-Tien Lee, Cheng-Huang Wu, Yumin Lee, Lin-Shan Lee: Distributed Chinese keyword spotting and verification for spoken dialogues under wireless environment.
• 
  Ryuichiro Higashinaka, Noboru Miyazaki, Mikio Nakano, Kiyoaki Aikawa: A method for evaluating incremental utterance understanding in spoken dialogue systems.
• 
  Naoko Kakutani, Norihide Kitaoka, Seiichi Nakagawa: Detection and recognition of repaired speech on misrecognized utterances for speech input of car navigation system.
• 
  Robert Eklund: Ingressive speech as an indication that humans are talking to humans (and not to machines).
• 
  Hagen Soltau, Florian Metze, Alex Waibel: Compensating for hyperarticulation by modeling articulatory properties.
• 
  Olga Goubanova: Forms of introduction in map task dialogues: case of L2 Russian speakers.
• 
  Nanette Veilleux: Bridges: regions between discourse segments.
• 
  Didier Guillevic, Simona Gandrabur, Yves Normandin: Robust semantic confidence scoring.
• 
  Ludek Müller, Tomás Bartos: Statistically based approach to rejection of incorrectly recognized words.
• 
  Ryo Sato, Ryuichiro Higashinaka, Masafumi Tamoto, Mikio Nakano, Kiyoaki Aikawa: Learning decision trees to determine turn-taking by spoken dialogue systems.
• 
  H. Hamimed, Géraldine Damnati: Integration of phonetic length properties in the acoustic models of false starts and out-of-vocabulary words.
• 
  Yibao Zhao, Guojun Zhou: N-word-sequence frequency noise mitigation for SLM based on binomial distribution.
• 
  Chul Min Lee, Shrikanth S. Narayanan, Roberto Pieraccini: Combining acoustic and language information for emotion recognition.
• 
  Kadri Hacioglu, Wayne Ward: A figure of merit for the analysis of spoken dialog systems.

Language Modeling

• 
  Tomoyosi Akiba, Katunobu Itou, Atsushi Fujii, Tetsuya Ishikawa: Selective back-off smoothing for incorporating grammatical constraints into the n-gram language model.
• 
  Imed Zitouni, Olivier Siohan, Hong-Kwang Jeff Kuo, Chin-Hui Lee: Backoff hierarchical class n-gram language modelling for automatic speech recognition systems.
• 
  Francis Picard, Dominique Boucher, Guy Lapalme: Constructing small language models from grammars.
• 
  Rong Zhang, Alexander I. Rudnicky: Improve latent semantic analysis based language model by integrating multiple level knowledge.
• 
  Elvira I. Sicilia-Garcia, Ji Ming, F. Jack Smith: Individual word language models and the frequency approach.
• 
  Andreas Stolcke: SRILM - an extensible language modeling toolkit.
• 
  Edward W. D. Whittaker, Dietrich Klakow: Efficient construction of long-range language models using log-linear interpolation.
• 
  Anna Corazza: Integration of two stochastic context-free grammars.
• 
  Manny Rayner, Beth Ann Hockey, John Dowding: Grammar specialisation meets language modelling.
• 
  Jing Huang, Geoffrey Zweig: Maximum entropy model for punctuation annotation from speech.
• 
  Shinsuke Mori: An automatic sentence boundary detector based on a structured language model.
• 
  Genqing Wu, Fang Zheng, Wenhu Wu, Mingxing Xu, Ling Jin: Improved katz smoothing for language modeling in speech recogniton.
• 
  Renato de Mori, Yannick Estève, Christian Raymond: On the use of structures in language models for dialogue.
• 
  Hakan Erdogan, Ruhi Sarikaya, Yuqing Gao, Michael Picheny: Semantic structured language models.

Prosody and Speech Recognition - I

• 
  Keikichi Hirose, Nobuaki Minematsu, Makoto Terao: Statistical language modeling with prosodic boundaries and its use for continuous speech recognition.
• 
  Koji Iwano, Takahiro Seki, Sadaoki Furui: Noise robust speech recognition using F0 contour extracted by hough transform.
• 
  Farshad Almasganj, Farhad D. Dehnavi, Mahmood Bijankhan: Sharing relative stress of cross-word syllables and lexical stress to spontaneous speech recognition.
• 
  Don Baron, Elizabeth Shriberg, Andreas Stolcke: Automatic punctuation and disfluency detection in multi-party meetings using prosodic and lexical cues.
• 
  Xuejing Sun: Pitch accent prediction using ensemble machine learning.
• 
  David Escudero Mancebo, César González Ferreras, Valentín Cardeñoso-Payo: Quantitative evaluation of relevant prosodic factors for text-to-speech synthesis in Spanish.
• 
  Nuttakorn Thubthong, Boonserm Kijsirikul, Sudaporn Luksaneeyanawin: Tone recognition in Thai continuous speech based on coarticulaion, intonation and stress effects.
• 
  Kazuyuki Takagi, Hajime Kubota, Kazuhiko Ozeki: Combination of pause and F0 information in dependency analysis of Japanese sentences.
• 
  Yasuo Horiuchi, Tomoko Ohsuga, Akira Ichikawa: Estimating syntactic structure from F0 contour and pause duration in Japanese speech.
• 
  Yoichi Yamashita, Akira Inoue: Extraction of important sentences using F0 information for speech summarization.
• 
  Tatsuya Kitamura, Kayo Itoh, Toshihiko Itoh, Shigeyoshi Kitazawa: Influence of prosody, context, and word order in the identification of focus in Japanese dialogue.
• 
  Atsuhiko Kai, Yukari Nonomura, Toshihiko Itoh, Tatsuhiro Konishi, Yukihiro Itoh: Influence of different dialogue situations on user²s behavior in spoken corrections.
• 
  Li-chiung Yang: Interpreting meaning from context: modeling the prosody of discourse markers in speech.
• 
  Katarina Bartkova, David Le Gac, Delphine Charlet, Denis Jouvet: Prosodic parameter for speaker identification.
• 
  Shigeyoshi Kitazawa, Toshihiko Itoh, Tatsuya Kitamura: Juncture segmentation of Japanese prosodic unit based on the spectrographic features.

Pathology of Voice and Speech Production

• 
  Jan G. Svec, Frantisek Sram: Kymographic imaging of the vocal fold oscillations.
• 
  Katalin Mády, Robert Sader, Alexander Zimmermann, P. Hoole, A. Beer, Hans-Florian Zeilhofer, Ch. Hannig: Assessment of consonant articulation in glossectomee speech by dynamic MRI.
• 
  Alan Wrench, Fiona Gibbon, Alison M. McNeill, Sara Wood: An EPG therapy protocol for remediation and assessment of articulation disorders.
• 
  Rupal Patel: How speakers with and without speech impairment mark the question statement contrast.
• 
  Stephen A. Zahorian, A. Matthew Zimmer, Fansheng Meng: Vowel classification for computer-based visual feedback for speech training for the hearing impaired.

Model Based Speech Processing I

• 
  Paavo Alku, Tomas Bäckström: All-pole modeling of wide-band speech using weighted sum of the LSP polynomials.
• 
  Jean Schoentgen: Analysis and synthesis of the phonatory excitation signal by means of a pair of polynomial shaping functions.
• 
  Taras K. Vintsiuk: Optimal speech signal partition into one-quasiperiodical segments.
• 
  Hugo Leonardo Rufiner, Luis F. Rocha, John Goddard Close: Sparse and independent representations of speech signals based on parametric models.
• 
  Keiichi Funaki: Improvement of the ELS-based time-varying complex speech analysis.

Acoustic Modeling

• 
  K. K. Chin, Philip C. Woodland: Maximum mutual information training of hidden Markov models with vector linear predictors.
• 
  Jonathan E. Hamaker, Joseph Picone, Aravind Ganapathiraju: A sparse modeling approach to speech recognition based on relevance vector machines.
• 
  Ciprian Chelba, Rachel Morton: Mutual information phone clustering for decision tree induction.
• 
  Kevin S. Van Horn: Rethinking derived acoustic features in speech recognition.
• 
  Konstantin Markov, Satoshi Nakamura: Modeling HMM state distributions with Bayesian networks.
• 
  Stavros Tsakalidis, Vlasios Doumpiotis, William Byrne: Discriminative linear transforms for feature normalization and speaker adaptation in HMM estimation.
• 
  Kozo Okuda, Tatsuya Kawahara, Satoshi Nakamura: Speaking rate compensation based on likelihood criterion in acoustic model training and decoding.
• 
  Michiel Bacchiani: Combining maximum likelihood and maximum a posteriori estimation for detailed acoustic modeling of context dependency.
• 
  Jing Huang, Vaibhava Goel, Ramesh Gopinath, Brian Kingsbury, Peder A. Olsen, Karthik Visweswariah: Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model.
• 
  Jin-Song Zhang, Satoshi Nakamura: Modeling varying pauses to develop robust acoustic models for recognizing noisy conversational speech.
• 
  Hwa Jeon Song, Hyung Soon Kim: Improving phone-level discrimination in LDA with subphone-level classes.
• 
  Zhijian Ou, Zuoying Wang: A combined model of statics-dynamics of speech optimized using maximum mutual information.
• 
  Nobutoshi Takahashi, Seiichi Nakagawa: Syllable recognition using syllable-segment statistics and syllable-based HMM.
• 
  J. W. F. Thirion, Elizabeth C. Botha: Recurrent neural network-enhanced HMM speech recognition systems.
• 
  Young-Sun Yun: Sharing trend information of trajectory in segmental-feature HMM.
• 
  Jesper Salomon, Simon King, Jesper Salomon: Framewise phone classification using support vector machines.
•