Leave No Knowledge Behind During Knowledge Distillation: Towards
Practical and Effective Knowledge Distillation for Code-Switching ASR Using
Realistic Data

Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data

15 July 2024

Liang-Hsuan Tseng

Cheng-Kuang Lee

Tsung-Ren Huang

Hung-yi Lee

Papers citing "Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data"

3 / 3 papers shown

Title
Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision Chih-Kai Yang Kuan-Po Huang Ke-Han Lu Chun-Yi Kuan Chi-Yuan Hsiao Hung-yi Lee 48 7 0 30 Dec 2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages Yu Zhang Wei Han James Qin Yongqiang Wang Ankur Bapna ... Pedro J. Moreno Chung-Cheng Chiu J. Schalkwyk Franccoise Beaufays Yonghui Wu VLM 79 253 0 02 Mar 2023
Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models Liang-Hsuan Tseng Yu-Kuan Fu Heng-Jui Chang Hung-yi Lee SSL 28 14 0 07 Oct 2021