Project Details

Discriminative training of speaker-normalized models for automatic speech recognition

Project Period: 7. 1. 2011 - 7. 1. 2013

Project Type: grant

Code: SIGA890

Agency: South Moravian Region

Program: Seventh Research Framework Programme

Czech title
Diskriminativní trénování modelů normalizovaných na mluvčího pro automatické rozpoznávání řeči
Type
grant
Keywords

speech recognition

Abstract

The proposed project deals with automatic speech recognition. It focuses on investigation of discriminative training of speaker normalized models allowing for building more accurate speech recognition systems that are more adapted to the target user. Particular attention is devoted to the application of discriminatively trained speaker adaptations in recently proposed sub-space acoustic modeling of speech.

Team members
Rath Shakti P. (UPGM FIT VUT) , research leader
Černocký Jan, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Publications

2013

  • RATH Shakti P., BURGET Lukáš, KARAFIÁT Martin, GLEMBEK Ondřej and ČERNOCKÝ Jan. A Region-specific Feature-space Transformation for Speaker Adaptation and Singularity Analysis of Jacobian Matrix. In: Proceedings of Interspeeech 2013. Lyon: International Speech Communication Association, 2013, pp. 1228-1232. ISBN 978-1-62993-443-3. ISSN 2308-457X. Detail
  • RATH Shakti P., POVEY Daniel, VESELÝ Karel and ČERNOCKÝ Jan. Improved Feature Processing for Deep Neural Networks. In: Proceedings of Interspeech 2013. Lyon: International Speech Communication Association, 2013, pp. 109-113. ISBN 978-1-62993-443-3. ISSN 2308-457X. Detail

2012

  • RATH Shakti P., KARAFIÁT Martin, GLEMBEK Ondřej and ČERNOCKÝ Jan. A factorized representation of FMLLR transform based on QR-decomposition. In: Proceedings of Interspeech 2012. Portland, Oregon: International Speech Communication Association, 2012, pp. 1-4. ISBN 978-1-62276-759-5. ISSN 1990-9772. Detail
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