SVoice-Reference-Cited by-同舟云学术

SVoice

Published:2022-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
language:
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Author:

Fu Yongjian¹,Wang Shuning¹,Zhong Linghui¹,Chen Lili²,Ren Ju³,Zhang Yaoxue³

Affiliation:

1. Central South University, Changsha, China

2. Tsinghua University

3. Tsinghua University and Zhongguancun Laboratory, Beijing, China

Funder

Natural Science Foundation of Hunan Province, China

Guoqiang Institute, Tsinghua University

National Natural Science Foundation of China

National Key RD Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3560905.3568530

Reference72 articles.

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2. 2022. Microsoft Azure Speech-to-Text API. https://azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/ 2022. Microsoft Azure Speech-to-Text API. https://azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/

3. Face aging with conditional generative adversarial networks

4. Gopala K Anumanchipalli , Josh Chartier , and Edward F Chang . 2019. Speech synthesis from neural decoding of spoken sentences. Nature 568, 7753 ( 2019 ), 493--498. Gopala K Anumanchipalli, Josh Chartier, and Edward F Chang. 2019. Speech synthesis from neural decoding of spoken sentences. Nature 568, 7753 (2019), 493--498.

5. Mikel Artetxe , Gorka Labaka , Eneko Agirre , and Kyunghyun Cho . 2017. Unsupervised neural machine translation. arXiv preprint arXiv:1710.11041 ( 2017 ). Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017. Unsupervised neural machine translation. arXiv preprint arXiv:1710.11041 (2017).

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