comparative evaluation of single-channel mmse-based noise reduction schemes for speech recognition
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2010
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Abstract
One of the big challenges in the field of Automatic
Speech Recognition (ASR) consists in developing suitable solutions
able to work properly also in adverse acoustic conditions,
like in presence of additive noise and/or in reverberant rooms.
Recently a certain attention has been paid to deeply integrate the
noise suppressor in the feature extraction pipeline. In this paper,
different single-channel MMSE-based noise reduction schemes
have been implemented both in the frequency and cepstral
domains and the related recognition performances evaluated on
the AURORA2 and AURORA4 databases, therefore providing a
useful reference for the scientific community.
| Reference Key |
principi2010journalcomparative
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|---|---|
| Authors | ;Emanuele Principi;Simone Cifani;Rudy Rotili;Stefano Squartini;Francesco Piazza |
| Journal | Molecular diversity |
| Year | 2010 |
| DOI |
10.1155/2010/962103
|
| URL | |
| Keywords |
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