A quantitative method for modeling context in concatenative synthesis using large speech database

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2001, Pages 789-792

  Hamza, W ^a   Rashwan, M ^a   Afify, M ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; SPEECH ANALYSIS; SPEECH PROCESSING;

CONCATENATIVE SYNTHESIS; LARGE SPEECH DATABASE;

SPEECH SYNTHESIS;

EID: 0034854642     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. The AT&T next-gen TTS system
2. Trainable speech synthesis
3. Unit selection in a concatenative speech synthesis system using large speech database
4. Arabic speech synthesis using large speech database
5. Arabic speech synthesis using large speech database
6. Decision trees for phonological rules in continuous speech