2042 search results - page 252 / 409 » Automatic Understanding of Signals |
138
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
133
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TASLP
2008
15 years 3 months ago
2008
The predominant melodic source, frequently the singing voice, is an important component of musical signals. In this paper, we describe a method for extracting the predominant sourc...
110
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SPEECH
2002
15 years 3 months ago
2002
An algorithm is proposed which automatically estimates the local signalto-noise ratio (SNR) between speech and noise. The feature extraction stage of the algorithm is motivated by...
130
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INTERSPEECH
2010
14 years 10 months ago
2010
This paper explores conversational grunts in a face-to-face setting. The study investigates the prosody and turn-taking effect of fillers and feedback tokens that has been annotat...
135
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JMIV
2010
14 years 10 months ago
2010
This paper proposes robust algorithms to deconvolve discrete noised signals and images. The solutions are derived as linear combinations of spline wavelet packets that minimize so...