# High-accuracy speech transcription
Wav2vec2 Large Xls R 300m Turkish Colab
Apache-2.0
This model is a Turkish speech recognition model fine-tuned on the common_voice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 32.08% on the evaluation set.
Speech Recognition
Transformers

W
Samiul
99
0
Wav2vec2 Large Xlsr 53 Tr Fine Tuning Deprecated
Apache-2.0
This model is a speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-large-xlsr-53
Speech Recognition
Transformers

W
bekirbakar
17
0
Wav2vec2 1b Npsc Nst Bokmaal
Apache-2.0
This model is an automatic speech recognition (ASR) model fine-tuned on the Norwegian Bokmål dialect speech dataset based on facebook/wav2vec2-xls-r-1b
Speech Recognition
Transformers

W
NbAiLab
30
0
Aspram
Apache-2.0
Armenian automatic speech recognition model based on wav2vec2-xls-r-2b architecture, supporting hy/hye language
Speech Recognition
Transformers Other

A
YSU
170
4
Wav2vec2 Large 100h Lv60 Self
Apache-2.0
Wav2Vec2-Large-100h-Lv60 is a large model pre-trained and fine-tuned on 100 hours of Libri-Light and Librispeech speech data, trained with self-training objectives, suitable for speech recognition tasks with 16kHz sampling rate.
Speech Recognition
Transformers English

W
Splend1dchan
17
0
Wav2vec2 Large Xlsr 53 Ft Cgn
A Dutch speech recognition model fine-tuned on Dutch spoken language corpus using CTC loss function, based on the facebook/wav2vec2-large-xlsr-53 large model
Speech Recognition
Transformers Other

W
GroNLP
22
3
Wav2vec2 Dutch Large Ft Cgn
A Dutch Wav2Vec2 model built by continuous pre-training and fine-tuning the original English model on the Dutch speech corpus CGN.
Speech Recognition
Transformers Other

W
GroNLP
18
1
Wav2vec2 Large Xls R 300m Vietnamese Colab
Apache-2.0
This model is a Vietnamese speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers

W
Jungwonchang
22
0
Wav2vec2 Xlsr Tatar
Apache-2.0
This model is an automatic speech recognition model fine-tuned on Tatar language datasets based on facebook/wav2vec2-xls-r-1b, achieving a word error rate (WER) of 16.87% on the Common Voice 8 dataset.
Speech Recognition
Transformers Other

W
sammy786
17
1
Wav2vec2 Large Xls R 300m Turkish Colab
Apache-2.0
This model is a Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m.
Speech Recognition
Transformers

W
masapasa
20
0
Wav2vec2 Large It Voxpopuli
A speech recognition model pre-trained on unlabeled Italian data from VoxPopuli, using Facebook's Wav2Vec2 architecture
Speech Recognition Other
W
facebook
55
0
Wav2vec2 Large Xlsr Persian Shemo
Apache-2.0
An automatic speech recognition model fine-tuned on the Persian ShEMO dataset based on Wav2Vec2-Large-XLSR-53
Speech Recognition Other
W
m3hrdadfi
28
3
Wav2vec2 Large Xlsr 53 Levantine Arabic
Apache-2.0
An Arabic speech recognition model fine-tuned on the Arabic speech corpus dataset, based on the facebook/wav2vec2-large-xlsr-53 model
Speech Recognition Arabic
W
elgeish
46
4
Wav2vec2 Xlsr Chuvash
Apache-2.0
This model is an automatic speech recognition model fine-tuned on the Common Voice 8 Chuvash dataset based on facebook/wav2vec2-xls-r-1b
Speech Recognition
Transformers Other

W
sammy786
23
0
Wav2vec2 Xls R 300m Turkish Tr Med
Apache-2.0
This model is a Turkish speech recognition model fine-tuned on common speech datasets based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers

W
emre
22
0
Kabyle Xlsr
Apache-2.0
This is an automatic speech recognition (ASR) model fine-tuned on the Kabyle language dataset based on the facebook/wav2vec2-xls-r-300m model
Speech Recognition
Transformers Other

K
Akashpb13
39
2
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