PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition-Reference-Cited by-同舟云学术

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PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition

Published:2023-12-06 Issue: Volume: Page:
ISSN:
Container-title:ACM Multimedia Asia Workshops
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Author:

Lei Chengxi¹^ORCID,Singh Satwinder²^ORCID,Hou Feng²^ORCID,Jia Xiaoyun³^ORCID,Wang Ruili⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, Dalian Maritime University, China and School of Mathematical and Computational Sciences, Massey university, New Zealand

2. School of Mathematical and Computational Sciences, Massey University, New Zealand

3. Institute of Governance & School of Political Science and Public Administration, Shandong University, CN

4. School of Mathematical and Computational Sciences, Massey University, NZ and School of Artificial Intelligence, Dalian Maritime University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611380.3628555

Reference30 articles.

1. Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition

2. State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

3. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

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