 | 2011 |
| 23 |  | Jonathan C. Kim,
Hrishikesh Rao,
Mark A. Clements:
Investigating the Use of Formant Based Features for Detection of Affective Dimensions in Speech.
ACII (2) 2011: 369-377 |
| 2010 |
| 22 |  | Kaustubh Kalgaonkar,
Mark A. Clements:
HMM adaptation using sparse Probabilistic Space Mapping for noisy speech.
ICASSP 2010: 4554-4557 |
| 2009 |
| 21 |  | Kaustubh Kalgaonkar,
Mark A. Clements:
Sparse probabilistic state mapping and its application to speech bandwidth expansion.
ICASSP 2009: 4005-4008 |
| 20 |  | Kaustubh Kalgaonkar,
Mark A. Clements:
Constrained probabilistic subspace maps applied to speech enhancement.
INTERSPEECH 2009: 1939-1942 |
| 2008 |
| 19 |  | Kaustubh Kalgaonkar,
Mark A. Clements:
Vocal tract area based formant tracking using particle filter.
ICASSP 2008: 3405-3408 |
| 2007 |
| 18 |  | Chin-Hui Lee,
Mark A. Clements,
Sorin Dusan,
Eric Fosler-Lussier,
Keith Johnson,
Biing-Hwang Juang,
Lawrence R. Rabiner:
An overview on automatic speech attribute transcription (ASAT).
INTERSPEECH 2007: 1825-1828 |
| 17 |  | Kaustubh Kalgaonkar,
Mark A. Clements:
Vocal tract and area function estimation with both lip and glottal losses.
INTERSPEECH 2007: 550-553 |
| 16 |  | Cenk Demiroglu,
David V. Anderson,
Mark A. Clements:
A Missing Data-based Feature Fusion Strategy for Noise-Robust Automatic Speech Recognition Using Noisy Sensors.
ISCAS 2007: 965-968 |
| 2005 |
| 15 |  | Venkatesh Krishnan,
Phil Spencer Whitehead,
David V. Anderson,
Mark A. Clements:
A framework for estimation of clean speech by fusion of outputs from multiple speech enhancement systems.
INTERSPEECH 2005: 2317-2320 |
| 14 |  | Sabato Marco Siniscalchi,
Jinyu Li,
Giovanni Pilato,
Giorgio Vassallo,
Mark A. Clements,
Antonio Gentile,
Filippo Sorbello:
Application of EalphaNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition.
WIRN/NAIS 2005: 140-146 |
| 2003 |
| 13 |  | Xin Zhong,
Mark A. Clements,
Sung Lim:
Acoustic change detection and segment clustering of two-way telephone conversations.
INTERSPEECH 2003 |
| 12 |  | Robert W. Morris,
Jon A. Arrowood,
Mark A. Clements:
Markov chain monte carlo methods for noise robust feature extraction using the autoregressive model.
INTERSPEECH 2003 |
| 2002 |
| 11 |  | Xiaozheng Zhang,
Russell M. Mersereau,
Mark A. Clements:
Bimodal fusion in audio-visual speech recognition.
ICIP (1) 2002: 964-967 |
| 10 |  | Xin Zhong,
Jon A. Arrowood,
Mark A. Clements:
Speech coding and transmission for improved automatic recognition.
INTERSPEECH 2002 |
| 9 |  | Jon A. Arrowood,
Mark A. Clements:
Using observation uncertainty in HMM decoding.
INTERSPEECH 2002 |
| 8 |  | Xiaozheng Zhang,
Charles C. Broun,
Russell M. Mersereau,
Mark A. Clements:
Automatic Speechreading with Applications to Human-Computer Interfaces.
EURASIP J. Adv. Sig. Proc. 2002(11): 1228-1247 (2002) |
| 1999 |
| 7 |  | Michael W. Macon,
Mark A. Clements:
An enhanced ABS/OLA sinusoidal model for waveform synthesis in TTS.
EUROSPEECH 1999 |
| 1997 |
| 6 |  | Michael W. Macon,
Mark A. Clements:
Sinusoidal modeling and modification of unvoiced speech.
IEEE Transactions on Speech and Audio Processing 5(6): 557-560 (1997) |
| 1995 |
| 5 |  | John H. L. Hansen,
Mark A. Clements:
Source generator equalization and enhancement of spectral properties for robust speech recognition in noise and stress.
IEEE Transactions on Speech and Audio Processing 3(5): 407-415 (1995) |
| 1994 |
| 4 |  | Beth A. Carlson,
Mark A. Clements:
A projection-based likelihood measure for speech recognition in noise.
IEEE Transactions on Speech and Audio Processing 2(1): 97-102 (1994) |
| 1992 |
| 3 |  | David J. Pepper,
Mark A. Clements:
Phonemic recognition using a large hidden Markov model.
IEEE Transactions on Signal Processing 40(6): 1590-1595 (1992) |
| 1991 |
| 2 |  | Beth A. Carlson,
Mark A. Clements:
A Computationally Compact Divergence Measure for Speech Processing.
IEEE Trans. Pattern Anal. Mach. Intell. 13(12): 1255-1260 (1991) |
| 1 |  | John H. L. Hansen,
Mark A. Clements:
Constrained iterative speech enhancement with application to speech recognition.
IEEE Transactions on Signal Processing 39(4): 795-805 (1991) |