Predicting how it sounds: Re-ranking dialogue prompts based on TTS quality for adaptive Spoken Dialogue Systems

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2009, Pages 2487-2490

  Boidin, Cedric ^a   Rieser, Verena ^b   Van Der Plas, Lonneke ^c   Lemon, Oliver ^b   Chevelu, Jonathan ^a  

^a ORANGE LABS   (France)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Re ranking; Speech synthesis; Spoken dialogue systems; TTS quality prediction

Indexed keywords

ANNOTATED TRAINING DATA; FEATURE SETS; LATENT VARIABLE; PREDICTIVE MODELS; QUALITY PREDICTION; RE-RANKING; RUNTIMES; SPOKEN DIALOGUE SYSTEM; TARGET DOMAIN; TEST SETS; TEXT TO SPEECH; USER RATING;

DIFFUSERS (OPTICAL); FEATURE EXTRACTION; QUALITY OF SERVICE; SPEECH PROCESSING; SPEECH SYNTHESIS;

SPEECH COMMUNICATION;

EID: 70450163425     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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