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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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INTERSPEECH
2010
13 years 2 months ago
Acoustic feature analysis in speech emotion primitives estimation
We recently proposed a family of robust linear and nonlinear estimation techniques for recognizing the three emotion primitives
Dongrui Wu, Thomas D. Parsons, Shrikanth S. Naraya...
ICASSP
2011
IEEE
12 years 11 months ago
Joint encoding of the waveform and speech recognition features using a transform codec
We propose a new transform speech codec that jointly encodes a wideband waveform and its corresponding wideband and narrowband speech recognition features. For distributed speech ...
Xing Fan, Michael L. Seltzer, Jasha Droppo, Henriq...
ICMI
2004
Springer
263views Biometrics» more  ICMI 2004»
14 years 25 days ago
Analysis of emotion recognition using facial expressions, speech and multimodal information
The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. Although ...
Carlos Busso, Zhigang Deng, Serdar Yildirim, Murta...
NOLISP
2005
Springer
14 years 29 days ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...