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Modeling the effect of military oxygen masks on speech characteristics
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In: Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03325087 ; Interspeech 2021, Aug 2021, Brno, Czech Republic (2021)
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Challenges in Audio Processing of Terrorist-Related Data
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In: International Conference on Multimedia Modeling ; https://hal.archives-ouvertes.fr/hal-02415176 ; International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece (2019)
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Challenges in Audio Processing of Terrorist-Related Data
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In: International Conference on Multimedia Modeling ; https://hal.archives-ouvertes.fr/hal-02387373 ; International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece (2019)
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Conversational telephone speech recognition for Lithuanian
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In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-01837147 ; Computer Speech and Language, Elsevier, 2018, 49, pp.71-82 (2018)
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Effective keyword search for low-resourced conversational speech
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In: icassp 2017 ; https://hal.archives-ouvertes.fr/hal-01744176 ; icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States (2017)
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An investigation into language model data augmentation for low-resourced STT and KWS
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01837171 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2017, New Orleans, United States (2017)
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Language Recognition for Dialects and Closely Related Languages
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In: Odyssey 2016 ; https://hal.archives-ouvertes.fr/hal-01744188 ; Odyssey 2016, Jun 2016, Bilbao, Spain (2016)
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Language Model Data Augmentation for Keyword Spotting
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837186 ; Annual Conference of the International Speech Communication Association , Jan 2016, San Francisco, United States (2016)
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Investigating techniques for low resource conversational speech recognition
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In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016) ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01515254 ; 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shangai, China. pp.5975-5979, ⟨10.1109/ICASSP.2016.7472824⟩ ; www.icassp2016.org (2016)
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Traduction de la parole dans le projet RAPMAT
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In: Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843418 ; Journées d'Études sur la Parole, Jan 2014, Le Mans, France (2014)
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Speech-to-Text Development for Slovak, a Low-Resourced Language
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843417 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014)
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Abstract:
International audience ; Development of an automatic speech recognition (ASR) system for low-resourced languages is an important research topic in ASR. This paper reports on t\he development of a speech-to-text (STT) system targeting broadcast news and broadcast conversation transcription for the low-resourced Slovak language. Context-dep\endent acoustic models are trained without any manually transcribed audio data via cross-language transfer and unsupervised training. In addition, a pronunciation d\ictionary for Slovak language is created using efficient rule-based pronunciation modeling. For language modeling, large N-gram language models were estimated on 63M words of texts downloaded from the Internet. The system uses MLP (multilayer perceptron) features imported from English which are concatenated with cepstral PLP (perceptual linear prediction) and F0 (pitch) features. These techniques were applied to develop a Slovak STT system with performance similar to that obtained by state-of-the-art systems for other languages. Furthermore, we propose to reduce the dimension of the MLP+PLP+F0 features from 81 to 50, using principal component analysis (PCA), in order to reduce the redundancy between the MLP and the PLP+F0 features. This feature reduction makes it possible to reduce the word error rate (WER) and the recognition time while reducing the CMLLR adaptation time by a factor of 3.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]
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URL: https://hal.archives-ouvertes.fr/hal-01843417
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Comparing decoding strategies for subword-based keyword spotting in low-resourced languages
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843408 ; Annual Conference of the International Speech Communication Association , ISCA, Sep 2014, Singapore, Singapore (2014)
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Efficient Rule Scoring for Improved Grapheme-Based Lexicons
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In: European Signal Processing Conference ; https://hal.archives-ouvertes.fr/hal-01843411 ; European Signal Processing Conference, Jan 2014, Lisbon, Portugal (2014)
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Cross-Word Sub-Word Units for Low-Resource Keyword Spotting
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In: International Workshop on Spoken Languages Technologies for Under-resourced languages ; https://hal.archives-ouvertes.fr/hal-01843415 ; International Workshop on Spoken Languages Technologies for Under-resourced languages, May 2014, St. Petersburg, Russia (2014)
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Efficient Rule Scoring For Improved Grapheme-Based Lexicons ...
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Some issues affecting the transcription of hungarian broadcast audio
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In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843430 ; Annual Conference of the International Speech Communication Association , Aug 2013, Lyon, France (2013)
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Acoustic unit discovery and pronunciation generation from a grapheme-based lexicon
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In: IEEE Automatic Speech Recognition and Understanding Workshop ; https://hal.archives-ouvertes.fr/hal-01843433 ; IEEE Automatic Speech Recognition and Understanding Workshop, Dec 2013, Olomouc, Czech Republic (2013)
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CallSurf - Automatic transcription, indexing and structuration of call center conversational speech for knowledge extraction and query by content
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In: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08) ; Sixth International Conference on Language Resources and Evaluation (LREC'08) ; https://hal.archives-ouvertes.fr/hal-00716016 ; Sixth International Conference on Language Resources and Evaluation (LREC'08), May 2008, Marrakech, Morocco. pp.2623-2628 (2008)
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