A WAV2VEC2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition-Reference-Cited by-同舟云学术

A WAV2VEC2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition

Author:

Jain Rishabh¹^ORCID,Barcovschi Andrei¹^ORCID,Yiwere Mariam Yahayah¹^ORCID,Bigioi Dan¹,Corcoran Peter¹^ORCID,Cucu Horia²^ORCID

Affiliation:

1. School of Electrical and Electronics Engineering, University of Galway, Galway, Ireland

2. Speech and Dialogue Research Laboratory, University Politehnica of Bucharest, Bucuresti, Romania

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference47 articles.

1. An ASR guided speech intelligibility measure for TTS model selection;baby;arXiv 2006 01463,2020

2. Transfer learning for robust low-resource children’s speech ASR with transformers and source-filter warping;thienpondt;arXiv 2206 09396,2022

3. Quality assurance for speech synthesis with ASR;peinl;Proc SAI Intell Syst Conf,2022

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