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English Speech

# English Speech

Wav2vec2 Base Timit Demo Colab70
Apache-2.0
This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, primarily used for English speech-to-text tasks.
Speech Recognition Transformers
W
hassnain
15
0
Wav2vec2 Base Timit Demo Colab11
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model
Speech Recognition Transformers
W
hassnain
18
0
Wav2vec2 Base Timit Demo Colab4
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model
Speech Recognition Transformers
W
sameearif88
16
0
Wav2vec2 Base Timit Demo Colab0
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base
Speech Recognition Transformers
W
cuzeverynameistaken
20
0
Wav2vec2 Base Timit Demo Colab1
Apache-2.0
A speech recognition model fine-tuned from facebook/wav2vec2-base, trained on the TIMIT dataset
Speech Recognition Transformers
W
sameearif88
25
0
Wavlm Base
WavLM is a large-scale self-supervised pre-trained speech model developed by Microsoft, pre-trained on 16kHz sampled speech audio, suitable for full-stack speech processing tasks.
Speech Recognition Transformers English
W
microsoft
28.33k
7
Wsj0 Full Supervised
Apache-2.0
This model is a speech recognition model fine-tuned on the WSJ0 dataset based on facebook/wav2vec2-large-lv60, achieving a word error rate of 0.0343 on the evaluation set.
Speech Recognition Transformers
W
Kuray107
26
0
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