Using prosody to improve automatic speech recognition

Speech Communication

Volumn 52, Issue 5, 2010, Pages 413-426

  Vicsi, Klára ^a   Szaszák, György ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Hidden Markov models; Prosody; Sentence modality; Speech recognition; Syntactic unit

Indexed keywords

ACOUSTIC PROCESSING; AUTOMATIC SPEECH RECOGNITION; BOUNDARY DETECTION; ENERGY CONTOURS; FINNISH; FUNDAMENTAL FREQUENCIES; GERMAN LANGUAGE; HUNGARIANS; INFORMATION EXTRACTION; LANGUAGE MODEL; LATTICE RESCORING; PHONEME MODELS; PROSODIC FEATURES; PROSODIC STRUCTURE; PROSODY; SEMANTIC LEVELS; SENTENCE BOUNDARY DETECTION; SENTENCE MODALITY; SPEECH PROSODY; SPEECH SEGMENTATION; SPOKEN LANGUAGES;

ALIGNMENT; COMPUTATIONAL LINGUISTICS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; NATURAL FREQUENCIES; QUERY LANGUAGES; REMELTING; SEMANTICS; SPEECH PROCESSING; SPEECH TRANSMISSION; SYNTACTICS;

SPEECH RECOGNITION;

EID: 77949912257     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2010.01.003     Document Type: Article

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