Duration-Aware Pause Insertion Using Pre-Trained Language Model for Multi-Speaker Text-To-Speech-Reference-Cited by-同舟云学术

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Duration-Aware Pause Insertion Using Pre-Trained Language Model for Multi-Speaker Text-To-Speech

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Yang Dong¹,Koriyama Tomoki²,Saito Yuki¹,Saeki Takaaki¹,Xin Detai¹,Saruwatari Hiroshi¹

Affiliation:

1. The University of Tokyo,Japan

2. CyberAgent, Inc.,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096402.pdf?arnumber=10096402

Reference28 articles.

1. Framewise phoneme classification with bidirectional LSTM and other neural network architectures

2. Automatic prosody prediction and detection with Conditional Random Field (CRF) models

3. Automatic prosody prediction for Chinese speech synthesis using BLSTM-RNN and embedding features

4. An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction

5. Automatic phrase boundary labeling of speech synthesis database using context-dependent HMMs and n-gram prior distributions

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Text-Inductive Graphone-Based Language Adaptation for Low-Resource Speech Synthesis;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-Based Prosody Modeling;Lecture Notes in Computer Science;2023

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