Revisiting scenarios and methods for variable frame rate analysis in automatic speech recognition

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 1809-1812

  MacIas Guarasa J ^a   Ordonez J ^a   Montero, J M ^a   Ferreiros, J ^a   Cordoba R ^a   D'Haro, L F ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE; SIGNAL TO NOISE RATIO; SPEECH COMMUNICATION; TIME DOMAIN ANALYSIS;

ACOUSTIC MODELLING; APPLICATION SCENARIO; AUTOMATIC SPEECH RECOGNITION; COMPUTATIONAL LOADS; LARGE VOCABULARY; NOISE CONDITIONS; SPEECH RECOGNITION SYSTEMS; VARIABLE FRAME RATE;

SPEECH RECOGNITION;

EID: 85009201789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Philippe Le Cerf and Dirk Van Compernolle. A new variable frame rate analysis method for speech recognition. IEEE Signal Processing Letters, 1(12), 1994.
2. Xiaodong Cui, Markus Iseli, Qifeng Zhu, and Abeer Alwan. Evaluation of noise robust features on the aurora databases. In Proc. ICSLP '02, pages 481-484, Los Angeles, 2002. University of California.
3. Javier Macías-Guarasa. Arquitecturas y métodos en sistemas de reconocimiento automático de habla de gran vocabulario (Architectures and methods in large vocabulary speech recognition systems ). Phd. thesis, ETSIT UPM, 2001.
4. K.M. Ponting and S.M. Peeling. The use of variable frame rate in analysis in speech recognition. Computer Speech and Language, 5(2):169-179, April 1991.
5. A. Varga, H.J.M Steenneken, M. Tomlinson, and D. Jones. The noisex-92 study on the effect of additive noise on automatic speech recognition. Documentation included in CDROMS of NOISEX-92, 1992.
6. Qifeng Zhu and Abeer Alwan. On the use of variable frame rate analysis in speech recognition. ICASSP, pages 3264-3267, 2000.