ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.04908
  4. Cited By
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent
  Adaptation
v1v2v3v4 (latest)

DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation

10 October 2021
Suraj Kothawade
Anmol Reddy Mekala
D. ChandraSekhara
Mayank Kothyari
Rishabh K. Iyer
Ganesh Ramakrishnan
Preethi Jyothi
ArXiv (abs)PDFHTML

Papers citing "DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation"

1 / 1 papers shown
Title
M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper
M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper
Jiaming Zhou
Songtao Zhao
Jiabei He
Hui Wang
Wenjia Zeng
Yong Chen
Haoqin Sun
Aobo Kong
Yong Qin
143
1
0
13 Mar 2025
1