Automatic Phonemic Transcription Using Feature Fusing of Articulatory Attribute and Syllable Type
Author:
Affiliation:
1. Center for the Protection and Research of Language Resources of China, Beijing Language and Culture University,Faculty of Linguistic Sciences,Beijing,China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10050539/10050540/10050658.pdf?arnumber=10050658
Reference29 articles.
1. Phoneme Recognition Based on Deep Belief Network
2. Patnet : A Phoneme-Level Autoregressive Transformer Network for Speech Synthesis
3. Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs
4. Indian Languages ASR: A Multilingual Phone Recognition Framework with IPA Based Common Phone-set, Predicted Articulatory Features and Feature fusion
5. Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis
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