wav2vec2-base-timit-demo-colab Open-Source Speech Recognition Model - Free Deployment and Precise English Speech Recognition

Wav2vec2 Base Timit Demo Colab

Developed by Adil617

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base, suitable for English speech recognition tasks.

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Speech Recognition #Low-resource Optimization #TIMIT Dataset

Downloads 27

Release Time : 3/2/2022

Model Overview

wav2vec2-base-timit-demo-colab is a speech recognition model based on the wav2vec2 architecture, fine-tuned on the TIMIT dataset, primarily used for English speech-to-text tasks.

Model Features

Efficient Fine-tuning

Fine-tuned based on the pre-trained wav2vec2-base model, optimized for performance on the TIMIT dataset.

Low Word Error Rate

Achieves a low word error rate (WER) on the evaluation set.

Supports Mixed Precision Training

Utilizes native AMP mixed precision training during the process, improving training efficiency.

Model Capabilities

English Speech Recognition

Speech-to-Text

Use Cases

Speech Recognition

English Speech Transcription

Converts English speech into text, suitable for scenarios like voice assistants and subtitle generation.

Word error rate (WER) is 1.0

Training Loss	Epoch	Step	Validation Loss	Wer
8.686	0.16	20	13.6565	1.0
8.0711	0.32	40	12.5379	1.0
6.9967	0.48	60	9.7215	1.0
5.2368	0.64	80	5.8459	1.0
3.4499	0.8	100	3.3413	1.0
3.1261	0.96	120	3.2858	1.0
3.0654	1.12	140	3.1945	1.0
3.0421	1.28	160	3.1296	1.0
3.0035	1.44	180	3.1172	1.0
3.0067	1.6	200	3.1217	1.0
2.9867	1.76	220	3.0715	1.0
2.9653	1.92	240	3.0747	1.0
2.9629	2.08	260	2.9984	1.0
2.9462	2.24	280	2.9991	1.0
2.9391	2.4	300	3.0391	1.0
2.934	2.56	320	2.9682	1.0
2.9193	2.72	340	2.9701	1.0
2.8985	2.88	360	2.9314	1.0

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Wav2vec2 Base Timit Demo Colab

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-base-timit-demo-colab

🚀 Quick Start

📚 Documentation

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License