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ORCID4th SLTU 2014: St. Petersburg, Russia
- 4th Workshop on Spoken Language Technologies for Under-resourced Languages, SLTU 2014, St. Petersburg, Russia, May 14-16, 2014. ISCA 2014
Keynotes
- Satoshi Nakamura:
Towards real-time multilingual multimodal speech-to-speech translation. 13-15 - Mark J. F. Gales, Kate M. Knill, Anton Ragni, Shakti P. Rath:
Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED. 16-23
Contributed Papers
- Xavier Anguera, Luis Javier Rodríguez-Fuentes, Igor Szöke, Andi Buzo, Florian Metze, Mikel Peñagarikano:
Query-by-example spoken term detection evaluation on low-resource languages. 24-31 - Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe, Tanja Schultz:
Features for factored language models for code-Switching speech. 32-38 - Frantisek Grézl, Martin Karafiát:
Adapting multilingual neural network hierarchy to a new language. 39-45 - Sakriani Sakti, Satoshi Nakamura:
Recent progress in developing grapheme-based speech recognition for Indonesian ethnic languages: Javanese, Sundanese, Balinese and Bataks. 46-52 - Martine Adda-Decker, Lori Lamel, Gilles Adda:
Speech alignment and recognition experiments for Luxembourgish. 53-60 - Reza Sahraeian, Dirk Van Compernolle, Febe de Wet:
On using intrinsic spectral analysis for low-resource languages. 61-65 - Sarah Flora Samson Juan, Laurent Besacier, Solange Rossato:
Semi-supervised G2p bootstrapping and its application to ASR for a very under-resourced language: Iban. 66-72 - Felix Stahlberg, Tim Schlippe, Stephan Vogel, Tanja Schultz:
Towards automatic speech recognition without pronunciation dictionary, transcribed speech and text resources in the target language using cross-lingual word-to-phoneme alignment. 73-80 - Irina S. Kipyatkova, Vasilisa Verkhodanova, Alexey Karpov:
Rescoring n-best lists for Russian speech recognition using factored language models. 81-86 - José Pedro Ferreira, Cristiano Chesi, Hyongsil Cho, Daan Baldewijns, Daniela Braga, José Miguel Salles Dias:
On Mirandese language resources for text-to-speech. 87-91 - Zeeshan Ahmed, João P. Cabral:
HMM-based speech synthesiser for the Urdu language. 92-97 - Thi Thu Trang Nguyen, Do Dat Tran, Albert Rilliard, Christophe d'Alessandro, Thi Ngoc Yen Pham:
Intonation issues in HMM-based speech synthesis for Vietnamese. 98-104 - Pavel Chistikov, Andrey Talanov:
High quality speech synthesis using a small speech dataset. 105-111 - William Hartmann, Lori Lamel, Jean-Luc Gauvain:
Cross-word sub-word units for low-resource keyword spotting. 112-117 - Tanel Alumäe:
Recent improvements in Estonian LVCSR. 118-123 - Horia Cucu, Andi Buzo, Corneliu Burileanu:
Unsupervised acoustic model training using multiple seed ASR systems. 124-130 - Balázs Tarján, Tibor Fegyó, Péter Mihajlik:
A bilingual study on the prediction of morph-based improvement. 131-138 - Tim Schlippe, Wolf Quaschningk, Tanja Schultz:
Combining grapheme-to-phoneme converter outputs for enhanced pronunciation generation in low-resource scenarios. 139-145 - Antoine Laurent, Lori Lamel:
Development of a Korean speech recognition system with little annotated data. 146-152 - Thi-Ngoc-Diep Do, Alexis Michaud, Eric Castelli:
Towards the automatic processing of Yongning Na (sino-tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages. 153 - Ioana Vasilescu, Bianca Vieru, Lori Lamel:
Exploring pronunciation variants for Romanian speech-to-text transcription. 161-168 - Anjana Sofia Vakil, Alexis Palmer:
Cross-language mapping for small-vocabulary ASR in under-resourced languages: investigating the impact of source language choice. 169-175 - Cong-Thanh Do, Lori Lamel, Jean-Luc Gauvain:
Speech-to-text development for Slovak, a low-resourced language. 176-182 - Daria Vazhenina, Konstantin Markov:
Sequence memoizer based language model for Russian speech recognition. 183-187 - Tetyana Lyudovyk, Valeriy Pylypenko:
Code-Switching speech recognition for closely related languages. 188-193 - Etienne Barnard, Marelie H. Davel, Charl Johannes van Heerden, Febe de Wet, Jaco Badenhorst:
The NCHLT speech corpus of the South African languages. 194-200 - Kristiina Jokinen, Graham Wilcock:
Community-based resource building and data collection. 201-206 - Sebastian Leidig, Tim Schlippe, Tanja Schultz:
Automatic detection of anglicisms for the pronunciation dictionary generation: a case study on our German IT corpus. 207-214 - Lucian Petrica, Horia Cucu, Andi Buzo, Corneliu Burileanu:
A robust diacritics restoration system using unreliable raw text data. 215-220 - Konstantin Simonchik, Vadim Shchemelinin:
"STC spoofing" database for text-dependent speaker recognition evaluation. 221-224 - Koena Ronny Mabokela, Madimetja Jonas D. Manamela, Mabu Manaileng:
Modeling code-Switching speech on under-resourced languages for language identification. 225-230 - Bogdan Ludusan, Emmanuel Dupoux:
Towards low-resource prosodic boundary detection. 231-237 - Raymond Molapo, Etienne Barnard, Febe de Wet:
Speech data collection in an under-resourced language within a multilingual context. 238-242 - Pavel A. Skrelin, Nina B. Volskaya, Karina Evgrafova, Riikka Ullakonoja:
The development of new corpora for under-resourced languages using data available for well-resourced ones. 243-246 - Dmitri Dmitriev:
Web lexicography for and by non-tech people. 247-251 - Abir Masmoudi, Yannick Estève, Mariem Ellouze Khmekhem, Fethi Bougares, Lamia Hadrich Belguith:
Phonetic tool for the Tunisian Arabic. 253-256 - Salima Harrat, Karima Meftouh, Mourad Abbas, Kamel Smaïli:
Grapheme to phoneme conversion: an Arabic dialect case. 257-262 - Maria Goudi, Pascal Nocera:
Sounds and symbols: an overview of different types of methods dealing with letters-to-sounds relationships in a wide range of languages in automatic speech recognition. 263-267
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