An introduction to statistical parametric speech synthesis

Sadhana - Academy Proceedings in Engineering Sciences

Volumn 36, Issue 5, 2011, Pages 837-852

  King, Simon ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

hidden Markov model based speech synthesis; Speech synthesis; statistical parametric speech synthesis; text to speech; vocoding

Indexed keywords

LITERATURE REVIEWS; TECHNICAL PUBLICATIONS; TEXT-TO-SPEECH; VOCODING;

HIDDEN MARKOV MODELS;

SPEECH SYNTHESIS;

EID: 84856237844     PISSN: 02562499     EISSN: 09737677     Source Type: Journal    
DOI: 10.1007/s12046-011-0048-y     Document Type: Article

References (6)

1. Jurafsky D, Martin J H 2009 Speech and language processing, 2nd edition (Upper Saddle River, New Jersey, USA: Prentice Hall).
2. Kawahara H, Masuda-Katsuse I, de Cheveigné A 1999 Restructuring speech representations using a pitch-adaptive time-frequency smoothing and an instantaneous-frequency-based f0 extraction: Possible role of a repetitive structure in sounds, Speech Commun. 27(3-4): 187-207.
3. Taylor P 2009 Text-to-speech synthesis (Cambridge: Cambridge University Press).
4. Zen H, Tokuda K 2009 TechWare: HMM-based speech synthesis resources, IEEE Signal Processing Magazine.
5. Zen H, Tokuda K, Black A W 2009 Statistical parametric speech synthesis, Speech Commun. 51(11): 1039-1064.
6. Zen H, Tokuda K, Kitamura T 2007 Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences, Comput. Speech Lang. 21(1): 153-173.