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Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised
  Learning with Targeted Fine-Tuning and Data Augmentation

Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation

14 June 2024
Dena F. Mujtaba
Nihar R. Mahapatra
Megan Arney
J Scott Yaruss
Caryn Herring
Jia Bin
ArXivPDFHTML

Papers citing "Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation"

3 / 3 papers shown
Title
From User Perceptions to Technical Improvement: Enabling People Who
  Stutter to Better Use Speech Recognition
From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition
Colin S. Lea
Zifang Huang
Lauren Tooley
Jaya Narain
Dianna Yee
P. Georgiou
Dung Tien Tran
Jeffrey P. Bigham
Leah Findlater
48
33
0
17 Feb 2023
Machine Learning for Stuttering Identification: Review, Challenges and
  Future Directions
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
62
48
0
08 Jul 2021
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
160
5,677
0
20 Jun 2020
1