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CSL
2010
Springer
13 years 3 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim
ICASSP
2009
IEEE
13 years 8 months ago
Singing voice detection in music tracks using direct voice vibrato detection
In this paper we investigate the problem of locating singing voice in music tracks. As opposed to most existing methods for this task, we rely on the extraction of the characteris...
Lise Regnier, Geoffroy Peeters
ICASSP
2011
IEEE
12 years 8 months ago
A modified MAP criterion based on hidden Markov model for voice activity detecion
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
Shiwen Deng, Jiqing Han, Tieran Zheng, Guibin Zhen...
ICASSP
2010
IEEE
13 years 5 months ago
Using online model comparison in the Variational Bayes framework for online unsupervised Voice Activity Detection
This paper presents the use of online Variational Bayes method for online Voice Activity Detection (VAD) in an unsupervised context. In conventional VAD, the final step often rel...
David Cournapeau, Shinji Watanabe, Atsushi Nakamur...
ICASSP
2008
IEEE
13 years 11 months ago
Language modeling for voice search: A machine translation approach
This paper presents a novel approach to language modeling for voice search based on the idea and method of statistical machine translation. We propose an n-gram based translation ...
Xiao Li, Yun-Cheng Ju, Geoffrey Zweig, Alex Acero