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Exploring Capabilities of Monolingual Audio Transformers using Large
  Datasets in Automatic Speech Recognition of Czech

Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech

15 June 2022
Jan Lehecka
J. Svec
A. Pražák
J. Psutka
ArXivPDFHTML

Papers citing "Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech"

4 / 4 papers shown
Title
Zero-Shot vs. Few-Shot Multi-Speaker TTS Using Pre-trained Czech
  SpeechT5 Model
Zero-Shot vs. Few-Shot Multi-Speaker TTS Using Pre-trained Czech SpeechT5 Model
Jan Lehecka
Z. Hanzlícek
J. Matousek
Daniel Tihelka
32
0
0
24 Jul 2024
Transfer Learning of Transformer-based Speech Recognition Models from
  Czech to Slovak
Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak
Jan Lehecka
J. Psutka
Josef Psutka
14
1
0
07 Jun 2023
Transformer-based encoder-encoder architecture for Spoken Term Detection
Transformer-based encoder-encoder architecture for Spoken Term Detection
J. Svec
L. Smídl
Jan Lehecka
11
0
0
02 Nov 2022
Multitask Detection of Speaker Changes, Overlapping Speech and Voice
  Activity Using wav2vec 2.0
Multitask Detection of Speaker Changes, Overlapping Speech and Voice Activity Using wav2vec 2.0
Marie Kunesova
Zbynek Zajíc
SSL
VLM
13
15
0
26 Oct 2022
1