Teorie a aplikace odhadu posteriorních pravděpodobností fonémů ve zpracování řeči

English title

Theory and applications of phoneme posterior estimation in speech processing

Type

grant

Keywords

speech processing, speech recognition, phoneme recognition, probabilistic features

Abstract

Estimation of posterior probabilities of discrete speech units - phonemes - has significant importance in basic speech processing research. The estimates are used in feature extraction (posterior features), phonotactic models for language recognition, generation of phoneme lattices for keyword spotting, and in other applications. The goal of this project is to create a fast and reliable system for estimation of such posterior probabilities that would allow to decrease error rates of the target systems. The project will deal with feature extraction, discriminative transforms, architectures of classifiers and techniques of training. The quality will be assessed mainly in international evaluations organized by US National Institute of Standards and Technology (NIST).

Team members

Grézl František, Ing., Ph.D. (UPGM FIT VUT) , research leader
Kopecký Jiří, Bc. (FIT VUT) , team leader
Plchot Oldřich, Ing., Ph.D. (UPGM FIT VUT) , team leader

Publications

2012

HAIN Thomas, BURGET Lukáš, DINES John, GARNER Phillip N., GRÉZL František, EL Hannani Asmaa, HUIJBREGTS Marijn, KARAFIÁT Martin, LINCOLN Mike and WAN Vincent. Transcribing Meetings with the AMIDA System. IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 2, 2012, pp. 486-498. ISSN 1558-7916. Detail

2011

VESELÝ Karel, KARAFIÁT Martin and GRÉZL František. Convolutive Bottleneck Network Features for LVCSR. In: Proceedings of ASRU 2011. Big Island, Hawaii: IEEE Signal Processing Society, 2011, pp. 42-47. ISBN 978-1-4673-0366-8. Detail
MIKOLOV Tomáš, DEORAS Anoop, KOMBRINK Stefan, BURGET Lukáš and ČERNOCKÝ Jan. Empirical Evaluation and Combination of Advanced Language Modeling Techniques. In: Proceedings of Interspeech 2011. Florence: International Speech Communication Association, 2011, pp. 605-608. ISBN 978-1-61839-270-1. ISSN 1990-9772. Detail
BOŘIL Hynek, GRÉZL František and HANSEN John H. Front-End Compensation Methods for LVCSR Under Lombard Effect. In: Proceedings of Interspeech 2011. Florence: International Speech Communication Association, 2011, pp. 1257-1260. ISBN 978-1-61839-270-1. ISSN 1990-9772. Detail
GRÉZL František and KARAFIÁT Martin. Integrating recent MLP feature extraction techniques into TRAP architecture. In: Proceedings of Interspeech 2011. Florence: International Speech Communication Association, 2011, pp. 1229-1232. ISBN 978-1-61839-270-1. ISSN 1990-9772. Detail
KOCKMANN Marcel, FERRER Luciana, BURGET Lukáš and ČERNOCKÝ Jan. iVector Fusion of Prosodic and Cepstral Features for Speaker Verification. In: Proceedings of Interspeech 2011. Florence: International Speech Communication Association, 2011, pp. 265-268. ISBN 978-1-61839-270-1. ISSN 1990-9772. Detail
KOMBRINK Stefan, MIKOLOV Tomáš, KARAFIÁT Martin and BURGET Lukáš. Recurrent Neural Network based Language Modeling in Meeting Recognition. In: Proceedings of Interspeech 2011. Florence: International Speech Communication Association, 2011, pp. 2877-2880. ISBN 978-1-61839-270-1. ISSN 1990-9772. Detail
GRÉZL František, KARAFIÁT Martin and JANDA Miloš. Study of Probabilistic and Bottle-Neck Features in Multilingual Environment. In: Proceedings of ASRU 2011. Hilton Waikoloa Village, Big Island, Hawaii: IEEE Signal Processing Society, 2011, pp. 359-364. ISBN 978-1-4673-0366-8. Detail
GRÉZL František. The Role of Neural Network Size in TRAP/HATS Feature Extraction. In: Proceedings Text, Speech and Dialogue 2011. LNAI 6836, vol. 2011. Plzeň: Springer Verlag, 2011, pp. 315-322. ISBN 978-3-642-23537-5. ISSN 0302-9743. Detail

2010

SZŐKE Igor, GRÉZL František, ČERNOCKÝ Jan and FAPŠO Michal. Acoustic keyword spotter - optimization from end-user perspective. In: Proceedings of the 2010 IEEE Spoken Language Technology Workshop. IEEE Catalog Number: CFP 10SLT-USB. Berkeley, California: IEEE Signal Processing Society, 2010, pp. 177-181. ISBN 978-1-4244-7902-3. Detail
GRÉZL František and KARAFIÁT Martin. Hierarchical Neural Net Architectures for Feature Extraction in ASR. In: Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010). Makuhari, Chiba: International Speech Communication Association, 2010, pp. 1201-1204. ISBN 978-1-61782-123-3. ISSN 1990-9772. Detail
HAIN Thomas, BURGET Lukáš, DINES John, GARNER Phillip N., EL Hannani Asmaa, HUIJBREGTS Marijn, KARAFIÁT Martin, LINCOLN Mike and WAN Vincent. The AMIDA 2009 Meeting Transcription System. In: Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010). Makuhari, Chiba: International Speech Communication Association, 2010, pp. 358-361. ISBN 978-1-61782-123-3. ISSN 1990-9772. Detail

2009

GRÉZL František and ČERNOCKÝ Jan. Audio Surveillance through Known Event Classification. Radioengineering, vol. 18, no. 4, 2009, pp. 671-675. ISSN 1210-2512. Detail
GRÉZL František, KARAFIÁT Martin and BURGET Lukáš. Investigation into bottle-neck features for meeting speech recognition. In: Proc. Interspeech 2009. Brighton: International Speech Communication Association, 2009, pp. 2947-2950. ISBN 978-1-61567-692-7. ISSN 1990-9772. Detail