# TIMIT Dataset
Wav2vec2 Large Lv60 Phoneme Timit English Timit 4k 002
Apache-2.0
A fine-tuned English phoneme recognition model based on facebook/wav2vec2-large-lv60 on the TIMIT dataset, achieving a phoneme error rate of 10.53%
Speech Recognition
Transformers English

W
excalibur12
103
1
Wav2vec2 Base Timit Demo Google Colab
Apache-2.0
This model is a fine-tuned version of facebook/wav2vec2-base, primarily used for speech recognition tasks.
Speech Recognition
Transformers

W
ones
108
0
Wav2vec2 Base Timit Demo Google Colab
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base
Speech Recognition
Transformers

W
Nancyzzz
103
0
Wav2vec2 Base Timit Demo Colab
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model, featuring a low Word Error Rate (WER).
Speech Recognition
Transformers

W
nawta
96
1
Wav2vec2 Base Timit Demo Google Colab
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, specializing in English speech-to-text tasks
Speech Recognition
Transformers

W
dasolj
127
0
Wav2vec2 Base Timit Demo Google Colab
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
neweasterns
100
0
Wav2vec2 Base Timit Demo Google Colab
Apache-2.0
This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, achieving a word error rate (WER) of 0.3384 on the evaluation set.
Speech Recognition
Transformers

W
mikeluck
38
0
Wav2vec2 Base Timit Demo Colab53
Apache-2.0
A speech recognition model fine-tuned based on facebook/wav2vec2-base, suitable for the TIMIT dataset
Speech Recognition
Transformers

W
Mudassar
22
0
Wav2vec2 Base Timit Demo Google Colab
Apache-2.0
This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, focusing on English speech-to-text tasks.
Speech Recognition
Transformers

W
wrice
17
0
Wav2vec2 Base Timit Google Colab
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, achieving a word error rate (WER) of 0.3355 on the evaluation set.
Speech Recognition
Transformers

W
anithapappu
19
0
Wav2vec2 Base Timit Demo Google Colab
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, suitable for English speech-to-text tasks
Speech Recognition
Transformers

W
BitanBiswas
28
0
Wav2vec2 Base Timit Demo Google Colab
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
patrickvonplaten
26
2
Wav2vec2 Base Timit Demo Colab
Apache-2.0
A speech recognition model fine-tuned based on facebook/wav2vec2-base, trained on the TIMIT dataset with a Word Error Rate (WER) of 0.3518
Speech Recognition
Transformers

W
murdockthedude
20
0
Wav2vec2 Xls R 300m Timit Phoneme
Apache-2.0
This is an automatic phoneme recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-xls-r-300m model, primarily used for phoneme-level recognition of English speech.
Speech Recognition
Transformers English

W
vitouphy
8,457
29
Wav2vec2 Base Timit Demo Colab
Apache-2.0
A speech recognition model fine-tuned based on facebook/wav2vec2-base, suitable for TIMIT dataset demonstration
Speech Recognition
Transformers

W
roshantushar
24
0
Wav2vec2 Base Timit Demo Colab 3
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on the TIMIT dataset, primarily used for English speech-to-text tasks.
Speech Recognition
Transformers

W
fahadtouseef
25
0
Wav2vec2 Base Timit Demo Colab3000
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model, suitable for English speech-to-text tasks.
Speech Recognition
Transformers

W
hassnain
23
0
Wav2vec2 Base Timit Demo Colab 2
Apache-2.0
A speech recognition model fine-tuned based on facebook/wav2vec2-base, demonstrating excellent performance on the TIMIT dataset
Speech Recognition
Transformers

W
fahadtouseef
24
0
Wav2vec2 Base Timit Demo Colab971
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model, focusing on English speech-to-text tasks.
Speech Recognition
Transformers

W
hassnain
23
0
Wav2vec2 Base Timit Demo Colab3
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model
Speech Recognition
Transformers

W
sherry7144
24
0
Wav2vec2 Base Timit Demo Colab2
Apache-2.0
A fine-tuned speech recognition model based on facebook/wav2vec2-base, trained on the TIMIT dataset with a word error rate of 0.5855
Speech Recognition
Transformers

W
sherry7144
24
0
Wav2vec2 Base Timit Demo Colab240
Apache-2.0
A speech recognition model fine-tuned based on facebook/wav2vec2-base, trained on the TIMIT dataset
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab57
Apache-2.0
A speech recognition model fine-tuned based on facebook/wav2vec2-base, trained on the TIMIT dataset with a Word Error Rate (WER) of 0.4593.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab1
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, trained and evaluated on the TIMIT dataset.
Speech Recognition
Transformers

W
cuzeverynameistaken
16
0
Wav2vec2 Base Timit Demo Colab647
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, achieving a word error rate of 0.4799 on the TIMIT dataset.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab53
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on the facebook/wav2vec2-base model, primarily used for English speech-to-text tasks.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab92
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
16
0
Wav2vec2 Base Timit Demo Colab90
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, specializing in English speech-to-text tasks
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab12
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, achieving a Word Error Rate (WER) of 0.3546
Speech Recognition
Transformers

W
sameearif88
16
0
Wav2vec2 Base Timit Demo Colab52
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
16
0
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 Colab51
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, achieving a word error rate of 0.748 on the TIMIT dataset.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab11
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, achieving a word error rate of 0.4348 on the TIMIT dataset.
Speech Recognition
Transformers

W
sameearif88
18
0
Wav2vec2 Base Timit Demo Colab60
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, trained for 60 epochs on the TIMIT dataset with a word error rate (WER) of 1.0.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab50
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, trained for 30 epochs on the TIMIT dataset.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab30
Apache-2.0
A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, achieving a Word Error Rate (WER) of 0.6534 after 30 training epochs
Speech Recognition
Transformers

W
hassnain
17
0
Wav2vec2 Base Timit Demo Colab7
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, trained on the TIMIT dataset with a Word Error Rate (WER) of 0.5426.
Speech Recognition
Transformers

W
sameearif88
16
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 Colab9
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on the TIMIT dataset, primarily used for English speech-to-text tasks.
Speech Recognition
Transformers

W
hassnain
16
0
Wav2vec2 Base Timit Demo Colab10
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on the TIMIT dataset, focusing on English speech-to-text tasks.
Speech Recognition
Transformers

W
sameearif88
16
0
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