The NICT ASR System for IWSLT2012

2012 International Workshop on Spoken Language Translation, IWSLT 2012

Volumn , Issue , 2012, Pages 34-37

  Yamamoto, Hitoshi ^a   Wu, Youzheng ^a   Huang, Chien Lin ^a   Lu, Xugang ^a   Dixon, Paul R ^a   Matsuda, Shigeki ^a   Hori, Chiori ^a   Kashioka, Hideki ^a  

^a NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION;

ACOUSTICS MODEL; ADAPTATION FRAMEWORK; AUTOMATIC SPEECH RECOGNITION; AUTOMATIC SPEECH RECOGNITION SYSTEM; LANGUAGE MODEL; MODEL-BASED OPC; N-GRAMS; SPONTANEOUS SPEECH; TOPIC ADAPTATION; WEIGHTED FINITE-STATE TRANSDUCERS;

RECURRENT NEURAL NETWORKS;

EID: 84905220316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. M. Federico, M. Cettolo, L. Bentivogli, M. Paul and S. Stüker, “Overview of the IWSLT 2012 Evaluation Campaign,” in Proc. of IWSLT, 2012.
2. A. Katsamanis, et al., “SailAlign: Robust long speech-text alignment,” in Proc. of Workshop on New Tools and Methods for Very-Large Scale Phonetics Research, 2011.
3. D. Povey, et al., “The Kaldi Speech Recognition Toolkit,” in Proc. of Workshop on Automatic Speech Recognition and Understanding, 2011.
4. R. Sproat, et al., “Normalization of non-standard words,” Computer Speech and Language, Vol. 15, pp. 287-333, 2001.
5. J. R. Novak, et al., “Improving WFST-based G2P Conversion with Alignment Constraints and RNNLM N-best Rescoring,” in Proc. of Interspeech, 2012.
6. R. Moore and W. Levis, “Intelligent selection of language model training data,” in Proc. of ACL, 2010.
7. A. Stolcke, et al., “SRILM at Sixteen: Update and Outlook,” in Proc. of Workshop on Automatic Speech Recognition and Understanding, 2011.
8. T. Mikolov, et al.,”Recurrent neural network based language model,” in Proc. of Interspeech, 2010.
9. Y. Wu, et al., “Factored Language Model based on Recurrent Neural Network,” in Proc. of COLING, 2012.
10. Y. Wu, et al., “Factored Recurrent Neural Network Language Model in TED Lecture Transcription,” in Proc. of IWSLT, 2012.
11. P. R. Dixon, et al., “A Comparison of Dynamic WFST Decoding Approaches,” in Proc. of ICASSP, 2012.