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Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0
  acoustic model

Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model

6 April 2021
Apoorv Vyas
S. Madikeri
H. Bourlard
ArXivPDFHTML

Papers citing "Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model"

3 / 3 papers shown
Title
Are disentangled representations all you need to build speaker
  anonymization systems?
Are disentangled representations all you need to build speaker anonymization systems?
Pierre Champion
D. Jouvet
Anthony Larcher
22
20
0
22 Aug 2022
Improving Low-Resource Speech Recognition with Pretrained Speech Models:
  Continued Pretraining vs. Semi-Supervised Training
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training
Mitchell DeHaven
J. Billa
VLM
AI4TS
15
8
0
01 Jul 2022
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An
  Extensive Benchmark on Air Traffic Control Communications
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
Juan Pablo Zuluaga
Amrutha Prasad
Iuliia Nigmatulina
Seyyed Saeed Sarfjoo
P. Motlícek
Matthias Kleinert
H. Helmke
Oliver Ohneiser
Qingran Zhan
13
43
0
31 Mar 2022
1