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ICASSP
2010
IEEE
13 years 8 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
LREC
2010
140views Education» more  LREC 2010»
13 years 11 months ago
A Study of the Influence of Speech Type on Automatic Language Recognition Performance
Automatic language recognition on spontaneous speech has experienced a rapid development in the last few years. This development has been in part due to the competitive technologi...
Alejandro Abejón, Doroteo Torre Toledano, D...
ICASSP
2009
IEEE
13 years 7 months ago
High improvement of speaker identification and verification by combining MFCC and phase information
In conventional speaker recognition methods based on MFCC, phase information has been ignored. We proposed a method that integrated the phase information with MFCC on a speaker id...
Longbiao Wang, Shinji Ohtsuka, Seiichi Nakagawa
INTERSPEECH
2010
13 years 4 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
Shirin Badiezadegan, Richard C. Rose
ICASSP
2010
IEEE
13 years 8 months ago
Model-based dereverberation in the logmelspec domain for robust distant-talking speech recognition
The REMOS (REverberation MOdeling for Speech recognition) concept for reverberation-robust distant-talking speech recognition, introduced in [1] for melspectral features, is exten...
Armin Sehr, Roland Maas, Walter Kellermann