Automatic data selection for MLP-based feature extraction for ASR

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 229-232

  Peláez Moreno, Carmen ^a   Zhu, Qifeng ^b   Chen, Barry ^b   Morgan, Nelson ^b  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DATA REDUCTION; FEATURE EXTRACTION; SPEECH COMMUNICATION; SPEECH PRODUCTION AIDS; SPEECH SYNTHESIS;

AUTOMATYIC SPEECH RECOGNITION (ASR); DATA SELECTION;

SPEECH RECOGNITION;

EID: 33745209928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Q. Zhu, B. Chen, N. Morgan, and A. Stolcke, " On using MLP features in LVCSR," in Proceedings of Intl. Conf. Spoken Language Processing, Jeju, Korea, October 2004.
2. B. Chen, Q. Zhu, and N. Morgan, "Learning Long-Term Temporal Features in LVCSR Using Neural Networks," in Proceedings of Intl. Conf. Spoken Language Processing, Jeju, Korea, October 2004.
3. N. Morgan, B. Y. Chen, Q. Zhu, and A. Stolcke, " TRAPping Conversational Speech: Extending TRAP/Tandem approaches to conversational telephone speech recognition," in Proceedings of Intl. Conf. on Audio, Speech and Signal Processing, Montreal, Canada, May 2004.
4. N. Morgan, B. Chen, Q. Zhu, and A. Stolcke, "Scaling up: learning large-scale recognition methods from small-scale recognition tasks," in Special Workshop in Maui (SWIM) paper 218, Maui, USA, 2004.
5. B. Chen and et al., "A CTS task for meaningful fast-turnaround experiments," in EARS Workshop, New York, USA, November 2004.
6. S. Vijayajumar and H. Ogawa, "Improving generalization ability through active learning," IEICE Trans. Info. and Syst., vol. W82-D, no. 2, pp. 480-487, February 1999.
7. M. Hall and L. Smith, "Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper," in Proc. of the Florida Artificial Intelligence Symposium (FLAIRS-99), Florida, USA, 1999.
8. T. Kamm and G. Meyer, "Automatic Selection of Transcribed Training Material," in Proceedings of ASRU, Trento, Italy, December 2001.
9. _, "Selective sampling of training data for speech recognition," in Proceedings of Human Language Technology, San Diego, USA, 2002.
10. T. M. Kamm, Active Learning for acoustic speech recognition modeling. PhD Dissertation.