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Automatic speech recognition in cocktail-party situations : a specific training for separated speech

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Automatic speech recognition in cocktail-party situations : a specific training for separated speech

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Martí Guerola, A.; Cobos Serrano, M.; López Monfort, JJ. (2012). Automatic speech recognition in cocktail-party situations : a specific training for separated speech. Journal of the Acoustical Society of America. 131(2):1529-1535. doi:10.1121/1.3675001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/56829

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Title: Automatic speech recognition in cocktail-party situations : a specific training for separated speech
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
Abstract:
Automatic speech recognition (ASR) refers to the task of extracting a transcription of the linguistic content of an acoustical speech signal automatically. Despite several decades of research in this important area of ...[+]
Subjects: Automatic speech recognition , Human performance , Separation process , Source separation , Speech signals , Acoustics , Physics , Separation , Algorithm , Article , Human , Noise , Perception , Speech , Speech perception , Standard , Algorithms , Humans , Perceptual Masking
Copyrigths: Cerrado
Source:
Journal of the Acoustical Society of America. (issn: 0001-4966 ) (eissn: 1520-8524 )
DOI: 10.1121/1.3675001
Publisher:
Acoustical Society of America
Publisher version: http://dx.doi.org/10.1121/1.3675001
Thanks:
The Spanish Ministry of Science and Innovation supported this work under Grant No. TEC2009-14414-C03-01.
Type: Artículo

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