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ICASSP
2011
IEEE
8 years 9 months ago
Hilbert envelope based features for robust speaker identification under reverberant mismatched conditions
It is well known that MFCC based speaker identification (SID) systems easily break down under mismatched training and test conditions. One such mismatch occurs when a SID system ...
Seyed Omid Sadjadi, John H. L. Hansen
ICASSP
2011
IEEE
8 years 9 months ago
Gammatone sub-band magnitude-domain dereverberation for ASR
We present an algorithm for dereverberation of speech signals for automatic speech recognition (ASR) applications. Often ASR systems are presented with speech that has been record...
Kshitiz Kumar, Rita Singh, Bhiksha Raj, Richard M....
TASLP
2010
132views more  TASLP 2010»
9 years 12 days ago
Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization
Sound source localization (SSL) is an essential task in many applications involving speech capture and enhancement. As such, speaker localization with microphone arrays has receive...
Flavio Ribeiro, Cha Zhang, Dinei A. F. Florê...
TASLP
2010
96views more  TASLP 2010»
9 years 12 days ago
Evaluating Source Separation Algorithms With Reverberant Speech
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
Michael I. Mandel, S. Bressler, Barbara G. Shinn-C...
ICASSP
2010
IEEE
9 years 3 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
TASLP
2008
124views more  TASLP 2008»
9 years 5 months ago
Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments
Hands-free devices are often used in a noisy and reverberant environment. Therefore, the received microphone signal does not only contain the desired near-end speech signal but als...
Emanuel A. P. Habets, Sharon Gannot, Israel Cohen,...
ICASSP
2010
IEEE
9 years 5 months ago
Audio forensics from acoustic reverberation
An audio recording is subject to a number of possible distortions and artifacts. For example, the persistence of sound, due to multiple reflections from various surfaces in a roo...
Hafiz Malik, Hany Farid
ICASSP
2010
IEEE
9 years 5 months ago
Maximum-likelihood-based cepstral inverse filtering for blind speech dereverberation
Current state-of-the-art speech recognition systems work quite well in controlled environments but their performance degrades severely in realistic acoustical conditions in reverb...
Kshitiz Kumar, Richard M. Stern
ICASSP
2009
IEEE
9 years 9 months ago
Strategies for modeling reverberant speech in the feature domain
The length of the room impulse response characterizing the acoustic path between speaker and microphone is significantly larger than the length of the analysis window used for fea...
Armin Sehr, Walter Kellermann
ISCAS
2008
IEEE
114views Hardware» more  ISCAS 2008»
10 years 2 days ago
Multimicrophone speech dereverberation using spatiotemporal and spectral processing
— Speech signals acquired in a reverberant room with microphones positioned at a distance from the talker are degraded in quality due to reverberation and measurement noise. Ther...
Nikolay D. Gaubitch, Emanuel A. P. Habets, Patrick...
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