Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios

7 June 2021

Papers citing "Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios"

6 / 6 papers shown

Title
ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization Haaris Mehmood Karthikeyan P. Saravanan Pablo Peso Parada David Tuckey Mete Ozay Gil Ho Lee Jungin Lee Seokyeong Jung 52 0 0 12 Mar 2025
A Policy-based Approach to the SpecAugment Method for Low Resource E2E ASR Rui Li Guodong Ma Dexin Zhao Ranran Zeng Xiaoyu Li Haolin Huang 21 2 0 16 Oct 2022
The RoyalFlush System of Speech Recognition for M2MeT Challenge Shuaishuai Ye Peiyao Wang Shunfei Chen Xinhui Hu Xinkang Xu 6 5 0 03 Feb 2022
PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition Guodong Ma Pengfei Hu Nurmemet Yolwas Shen Huang Hao-Ming Huang 19 4 0 13 Dec 2021
Significance of Data Augmentation for Improving Cleft Lip and Palate Speech Recognition Protima Nomo Sudro Rohan Kumar Das R. Sinha S. M. I. S. R. Mahadeva Prasanna 13 5 0 02 Oct 2021
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 214 2,233 0 14 Jun 2018