A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognition

7 November 2023

Papers citing "A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognition"

7 / 7 papers shown

Title
DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR Ruchao Fan Abeer Alwan 70 30 0 16 Jun 2022
A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition Rishabh Jain Andrei Barcovschi Mariam Yiwere Dan Bigioi Peter Corcoran H. Cucu 43 33 0 06 Apr 2022
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network William Chan Daniel S. Park Chris A. Lee Yu Zhang Quoc V. Le Mohammad Norouzi AI4TS 75 138 0 05 Apr 2021
End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study Prashanth Gurunath Shivakumar Shrikanth Narayanan 44 52 0 19 Feb 2021
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 282 5,790 0 20 Jun 2020
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati James Qin Chung-Cheng Chiu Niki Parmar Yu Zhang ... Wei Han Shibo Wang Zhengdong Zhang Yonghui Wu Ruoming Pang 223 3,139 0 16 May 2020
Libri-Light: A Benchmark for ASR with Limited or No Supervision Jacob Kahn M. Rivière Weiyi Zheng Evgeny Kharitonov Qiantong Xu ... Tatiana Likhomanenko Gabriel Synnaeve Armand Joulin Abdel-rahman Mohamed Emmanuel Dupoux AuLLM 65 672 0 17 Dec 2019