Acoustic model-based subword tokenization and prosodic-context extraction without language knowledge for text-to-speech synthesis-Reference-Cited by-同舟云学术

Acoustic model-based subword tokenization and prosodic-context extraction without language knowledge for text-to-speech synthesis

Published:2020-12 Issue: Volume:125 Page:53-60
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Aso Masashi,Takamichi Shinnosuke,Takamune Norihiro,Saruwatari Hiroshi

Funder

JSPS

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference40 articles.

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3. Subword tokenization based on DNN-based acoustic model for end-to-end prosody generation;Aso,2019

4. An auto-encoder based approach to unsupervised learning of subword units;Badino,2014

5. Automatic speech recognition for under-resourced languages: a survey;Besacier;Speech. Commun.,2014

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