Title
Speaker adaptation of speaking rate-dependent hierarchical prosodic model for Mandarin TTS
Abstract
In this paper, a speaker adaptation method to adapt an existing speaking rate-dependent hierarchical prosodic model (SR-HPM) of an SR-controlled Mandarin TTS system to new speaker's data for realizing a new voice is proposed. Two main problems are addressed: data sparseness for few adaptation utterances existing only in a small range of normal speaking rate and no adaptation data in both ranges of fast and slow speaking rates. The proposed method follows the idea of SR-HPM training to firstly normalize the prosodic-acoustic features of the new speaker's speech data, to then train an HPM by the prosody labeling and modeling algorithm, and to lastly refine the HPM to an SR-dependent model. The MAP adaptation method with model parameter extrapolation is applied to cope with the above two problems. Experimental results on a male speaker's adaptation data confirmed that the resulting adaptive SR-HPM has reasonable parameters covering a wide range of speaking rates and hence can be used in the TTS system to generate prosodic-acoustic features for synthesizing the new speaker's voice of any given SR.
Year
DOI
Venue
2014
10.1109/ISCSLP.2014.6936616
ISCSLP
Keywords
Field
DocType
speaking rate-dependent hierarchical prosodic model,sr-hpm model,data sparseness,sr-controlled mandarin tts system,speech synthesis,speaker recognition,feature extraction,prosodic-acoustic features,speaker adaptation method,prosody labeling algorithm,text-to-speech synthesis,prosody modeling algorithm,mandarin tts,male speaker adaptation data,speaker adaptation,hierarchical prosodic model
Prosody,Normalization (statistics),Computer science,Speech recognition,Speaker recognition,Extrapolation,Speaker diarisation,Artificial intelligence,Natural language processing,Model parameter,Speaker adaptation,Mandarin Chinese
Conference
Citations 
PageRank 
References 
3
0.42
4
Authors
5
Name
Order
Citations
PageRank
Po-Chun Wang130.42
I.-Bin Liao241.12
Chen-Yu Chiang33111.55
Yih-Ru Wang423734.68
Sin-Horng Chen527339.86