Lightly supervised and data-driven approaches to Mandarin broadcast news transcription

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

Volumn 1, Issue , 2004, Pages

  Chen, Berlin ^a   Kuo, Jen Wei ^a   Tsai, Wen Hung ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BROADCASTING; COMPUTER SIMULATION; DATA ACQUISITION; DIGITAL LIBRARIES; FORMAL LANGUAGES; INTERNET; PARAMETER ESTIMATION; TREES (MATHEMATICS);

ACOUSTIC TRAINING DATA; LANGUAGE MODEL; LOOK-AHEAD TECHNIQUE; SPEECH UTTRANCE;

SPEECH RECOGNITION;

EID: 4544302571     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. P. Beyerlein et al., "Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach," Speech Communication, May 2002.
2. B. Chen, H-M Wang, and L-S Lee, "Discriminating Capabilities of Syllable-Based Features and Approaches of Utilizing Them for Voice Retrieval of Speech Information in Mandarin Chinese", IEEE Trans, on Speech and Audio Processing, July 2002.
3. W. Macherey et al., "Towards Automatic Corpus Preparation for A German Broadcast News Transcription System," in Proc. ICASSP 2002.
4. M. Bacchiani et al., "Unsupervised Language Model Adaptation," in Proc. ICASSP 2003.
5. X. L. Aubert, "An Overview of Decoding Techniques for Large Vocabulary Continuous Speech Recognition," Computer Speech and Language, January 2002.
6. A. Stolcke, "SRI language Modeling Toolkit," version 1.3.3, http://www.speech.sri.com/projects/srilm/.