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On Architectures and Training for Raw Waveform Feature Extraction in ASR

On Architectures and Training for Raw Waveform Feature Extraction in ASR

9 April 2021
Peter Vieting
Christoph Luscher
Wilfried Michel
Ralf Schluter
Hermann Ney
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Papers citing "On Architectures and Training for Raw Waveform Feature Extraction in ASR"

5 / 5 papers shown
Title
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in
  the HYKIST Project
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project
Khai Le-Duc
17
2
0
26 Sep 2023
Comparative Analysis of the wav2vec 2.0 Feature Extractor
Comparative Analysis of the wav2vec 2.0 Feature Extractor
Peter Vieting
Ralf Schluter
Hermann Ney
28
2
0
08 Aug 2023
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR
Peter Vieting
Christoph Luscher
Julian Dierkes
Ralf Schluter
Hermann Ney
41
5
0
26 Oct 2022
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised
  Learning Features in Robust End-to-end Speech Recognition
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition
Szu-Jui Chen
Jiamin Xie
John H. L. Hansen
37
8
0
30 Jun 2022
On Language Model Integration for RNN Transducer based Speech
  Recognition
On Language Model Integration for RNN Transducer based Speech Recognition
Wei Zhou
Zuoyun Zheng
Ralf Schluter
Hermann Ney
37
22
0
13 Oct 2021
1