Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition | Zendy

Emanuele Principi | Zendy; Simone Cifani | Zendy; Rudy Rotili | Zendy; Stefano Squartini | Zendy; Francesco Piazza | Zendy

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Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition

Author(s) -

Emanuele Principi,

Simone Cifani,

Rudy Rotili,

Stefano Squartini,

Francesco Piazza

Publication year - 2010

Publication title -

journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 25

eISSN - 2090-0155

pISSN - 2090-0147

DOI - 10.1155/2010/962103

Subject(s) - pipeline (software) , noise reduction , noise (video) , speech recognition , computer science , reduction (mathematics) , mel frequency cepstrum , channel (broadcasting) , field (mathematics) , feature (linguistics) , feature extraction , pattern recognition (psychology) , artificial intelligence , telecommunications , mathematics , linguistics , philosophy , geometry , pure mathematics , image (mathematics) , programming language

One of the big challenges in the field of AutomaticSpeech Recognition (ASR) consists in developing suitable solutionsable 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 thenoise suppressor in the feature extraction pipeline. In this paper,different single-channel MMSE-based noise reduction schemeshave been implemented both in the frequency and cepstraldomains and the related recognition performances evaluated onthe AURORA2 and AURORA4 databases, therefore providing auseful reference for the scientific community

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