Single-sided objective speech intelligibility assessment based on Sparse signal representation

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2012, Pages

  Costantini, Giovanni ^a,b   Todisco, Massimiliano ^a,d   Perfetti, Renzo ^c   Paoloni, Andrea ^d   Saggio, Giovanni ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

^b Institute of Acoustics and Sensors Orso Mario Corbino   (Italy)

^c UNIVERSITY OF PERUGIA   (Italy)

^d FONDAZIONE UGO BORDONI   (Italy)

Author keywords

dictionary learning; forensic applications; nonnegative matrix factorization; Single sided objective intelligibility

Indexed keywords

DICTIONARY LEARNING; FORENSIC APPLICATIONS; INTELLIGIBILITY ASSESSMENT; LAWFUL INTERCEPTION; NOISE TYPES; NONNEGATIVE MATRIX FACTORIZATION; OBJECTIVE MEASUREMENT; SPARSE NON-NEGATIVE MATRIX FACTORIZATIONS; SPARSE SIGNAL REPRESENTATION; SPEECH SIGNALS; SUBJECTIVE EVALUATIONS; SUBJECTIVE TESTS;

LEARNING SYSTEMS; SIGNAL PROCESSING; TRANSCRIPTION;

SPEECH INTELLIGIBILITY;

EID: 84870683273     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2012.6349776     Document Type: Conference Paper

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