StreamSpeech: Low-Latency Neural Architecture for High-Quality on-Device Speech Synthesis-Reference-Cited by-同舟云学术

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StreamSpeech: Low-Latency Neural Architecture for High-Quality on-Device Speech Synthesis

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:

Shopov Georgi¹,Gerdjikov Stefan¹,Mihov Stoyan¹

Affiliation:

1. Institute of Information and Communication Technologies,Bulgarian Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096566.pdf?arnumber=10096566

Reference21 articles.

1. On-Device Neural Speech Synthesis

2. DeviceTTS: A small-footprint, fast, stable network for on-device text-to-speech;huang,2020

3. Transformer-Based Acoustic Modeling for Streaming Speech Synthesis

4. Multi-Rate Attention Architecture for Fast Streamable Text-to-Speech Spectrum Modeling

5. An implementation of matrix–matrix multiplication on the Intel KNL processor with AVX-512

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