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ICASSP
2011
IEEE
12 years 9 months ago
Acoustic model training for non-audible murmur recognition using transformed normal speech data
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Denis Babani, Tomoki Toda, Hiroshi Saruwatari, Kiy...
CVIU
2008
118views more  CVIU 2008»
13 years 5 months ago
Multimodal person authentication using speech, face and visual speech
This paper presents a method for automatic multimodal person authentication using speech, face and visual speech modalities. The proposed method uses the motion information to loc...
S. Palanivel, B. Yegnanarayana
TASLP
2002
124views more  TASLP 2002»
13 years 5 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
EJASMP
2010
114views more  EJASMP 2010»
13 years 20 days ago
Wide-Band Audio Coding Based on Frequency-Domain Linear Prediction
In this paper, we re-visit an original concept of speech coding in which the signal is separated into the carrier modulated by the signal envelope. A recently developed technique, ...
Petr Motlícek, Sriram Ganapathy, Hynek Herm...
INTERSPEECH
2010
13 years 18 days ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero