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» Signal Processing for Robust Speech Recognition
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SPEECH
2010
136views more  SPEECH 2010»
15 years 4 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang
ICASSP
2011
IEEE
14 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....
ICASSP
2009
IEEE
16 years 20 days ago
Affine invariant features and their application to speech recognition
This paper proposes a set of affine invariant features (AIFs) for sequence data. The proposed AIFs can be calculated directly from the sequence data, and their invariance to af...
Yu Qiao, Masayuki Suzuki, Nobuaki Minematsu
ACL
1998
15 years 7 months ago
A Model for Robust Processing of Spontaneous Speech by Integrating Viable Fragments
We describe the design and function of a robust processing component which is being developed for the Verbmobil speech translation system. Its task consists of collecting partial ...
Karsten L. Worm
ICASSP
2008
IEEE
16 years 11 days ago
Quick fmllr for speaker adaptation in speech recognition
Balakrishnan Varadarajan, Daniel Povey, Selina M. ...