Frame-wise model re-estimation method based on Gaussian pruning with weight normalization for noise robust voice activity detection-Reference-Cited by-同舟云学术

Frame-wise model re-estimation method based on Gaussian pruning with weight normalization for noise robust voice activity detection

Published:2012-02 Issue:2 Volume:54 Page:229-244
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Fujimoto Masakiyo,Watanabe Shinji,Nakatani Tomohiro

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference28 articles.

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2. Cournapeau, D., Kawahara, T., 2007. Evaluation of real-time voice activity detection based on high order statistics. In: Proc. of Interspeech ’07, pp. 2945–2948.

3. ETSI EN 301 708 v.7.1.1, 1999. Voice activity detector (VAD) for adaptive multi-rate (AMR) speech traffic channels.

4. ETSI ES 202 050 v.1.1.4, 2006. Speech processing, transmission and quality aspects (STQ), advanced distributed speech recognition; front-end feature extraction algorithm; compression algorithms.

5. Fischer, V., Rob, T., 1999. Reduced Gaussian mixture models in a large vocabulary continuous speech recognizer. In: Proc. of Eurospeech ’99, vol. 3, pp. 1099–1102.

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