Spoken term detection with connectionist temporal classification: A novel hybrid CTC-DBN decoder

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 5274-5277

  Wöllmer, Martin ^a   Eyben, Florian ^a   Schuller, Björn ^a   Rigoll, Gerhard ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Connectionist temporal classification; Dynamic Bayesian networks; Keyword spotting; Spoken term detection

Indexed keywords

BAYESIAN NETWORKS; DECODING; RECURRENT NEURAL NETWORKS; SPEECH RECOGNITION;

BI-DIRECTIONAL CONTEXTS; CLASSIFICATION NETWORKS; CONNECTIONIST TEMPORAL CLASSIFICATION; CONTINUOUS SPEECH; DYNAMIC BAYESIAN NETWORKS; KEYWORD DETECTIONS; KEYWORD SPOTTING; OUTPUT LAYER; SPOKEN TERM DETECTION; TEMPORAL CLASSIFICATION;

HIDDEN MARKOV MODELS;

EID: 78049359820     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5494980     Document Type: Conference Paper

References (12)

1. R. C. Rose and D. B. Paul, "A hidden markov model based keyword recognition system," in Proc. of ICASSP, Albuquerque, NM, USA, 1990.
2. A. Graves, S. Fernandez, and J. Schmidhuber, "Bidirectional LSTM networks for improved phoneme classification and recognition," in Proc. of ICANN, Warsaw, Poland, 2005, pp. 602-610.
3. A. Graves, S. Fernandez, F. Gomez, and J. Schmidhuber, "Connectionist temporal classification: Labelling unsegmented data with recurrent neural networks," in Proc. of 23rd Int. Conf. on Machine Learning, Pittsburgh, USA, 2006.
4. J. A. Bilmes, "Graphical models and automatic speech recognition," Mathematical Foundations of Speech and Language Processing, 2003.
5. H. Hermansky, D. P. W. Ellis, and S. Sharma, "Tandem connectionist feature extraction for conventional HMM systems," in Proc. of ICASSP, Istanbul, Turkey, 2000, vol. 3, pp. 1635-1638.
6. H. Ketabdar and H. Bourlard, "Enhanced phone posteriors for improving speech recognition systems," in IDIAP-RR, 2008, number 39.
7. M. Wöllmer, F. Eyben, J. Keshet, A. Graves, B. Schuller, and G. Rigoll, "Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks," in Proc. of ICASSP, Taipei, Taiwan, 2009.
8. M. Wöllmer, F. Eyben, A. Graves, B. Schuller, and G. Rigoll, "A Tandem BLSTM-DBN architecture for keyword spotting with enhanced context modeling," in Proc. of NOLISP 2009, Vic, Spain, 2009.
9. S. Fernandez, A. Graves, and J. Schmidhuber, "An application of recurrent neural networks to discriminative keyword spotting," in Proc. of ICANN, Porto, Portugal, 2007, pp. 220-229.
10. S. Hochreiter and J. Schmidhuber, "Long short-term memory," Neural Computation, vol. 9, no. 8, pp. 1735-1780, 1997.
11. M. Schuster and K. K. Paliwal, "Bidirectional recurrent neural networks," IEEE Transactions on Signal Processing, vol. 45, pp. 2673-2681, 1997.
12. M. Wöllmer, F. Eyben, S. Reiter, B. Schuller, C. Cox, E. Douglas-Cowie, and R. Cowie, "Abandoning emotion classes - towards continuous emotion recognition with modelling of long-range dependencies," in Proc. of Interspeech, Brisbane, Australia, 2008, pp. 597-600.