SNR loss: A new objective measure for predicting the intelligibility of noise-suppressed speech

Speech Communication

Volumn 53, Issue 3, 2011, Pages 340-354

  Ma, Jianfen ^a,b   Loizou, Philipos C ^b  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^b The University of Texas at Dallas   (United States)

Author keywords

Speech enhancement; Speech intelligibility; Speech intelligibility indices

Indexed keywords

CORRUPTED SIGNALS; CRITICAL BANDS; ENHANCEMENT ALGORITHMS; INTELLIGIBILITY SCORES; MAXIMUM CORRELATIONS; NOISE CONDITIONS; NOISE TYPES; NORMAL-HEARING LISTENERS; OBJECTIVE MEASURE; SPECTRAL AMPLIFICATION; SPECTRAL ATTENUATION; SPECTRAL DISTORTIONS; SPECTRAL REPRESENTATIONS; SPEECH ENHANCEMENT ALGORITHM; SPEECH INTELLIGIBILITY INDICES;

ALGORITHMS; AUDITION; LINGUISTICS; SPEECH ENHANCEMENT;

SPEECH INTELLIGIBILITY;

EID: 79551488405     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2010.10.005     Document Type: Article

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