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Investigating self-supervised, weakly supervised and fully supervised
  training approaches for multi-domain automatic speech recognition: a study on
  Bangladeshi Bangla

Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla

24 October 2022
Ahnaf Mozib Samin
M. Kobir
Md. Mushtaq Shahriyar Rafee
M. F. Ahmed
Mehedi Hasan
Partha Ghosh
Shafkat Kibria
M. S. Rahman
    SSL
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Papers citing "Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla"

2 / 2 papers shown
Title
Applying wav2vec2 for Speech Recognition on Bengali Common Voices
  Dataset
Applying wav2vec2 for Speech Recognition on Bengali Common Voices Dataset
Haz Sameen Shahgir
Khondker Salman Sayeed
Tanjeem Azwad Zaman
31
9
0
11 Sep 2022
Exploring wav2vec 2.0 on speaker verification and language
  identification
Exploring wav2vec 2.0 on speaker verification and language identification
Zhiyun Fan
Meng Li
Shiyu Zhou
Bo Xu
117
202
0
11 Dec 2020
1