Title | ||
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Speaker adaptation of speaking rate-dependent hierarchical prosodic model for Mandarin TTS |
Abstract | ||
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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 |
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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 |
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Po-Chun Wang | 1 | 3 | 0.42 |
I.-Bin Liao | 2 | 4 | 1.12 |
Chen-Yu Chiang | 3 | 31 | 11.55 |
Yih-Ru Wang | 4 | 237 | 34.68 |
Sin-Horng Chen | 5 | 273 | 39.86 |