wav2vec2-19 Open Source Speech Recognition Model - Free Support for Automatic Speech-to-Text Tasks

Wav2vec2 19

Developed by chrisvinsen

A fine-tuned speech recognition model based on facebook/wav2vec2-base, supporting automatic speech-to-text tasks

Downloads 18

Release Time : 6/1/2022

Model Overview

This model is a speech recognition model based on the wav2vec2 architecture, fine-tuned for speech-to-text conversion tasks.

Efficient Fine-tuning

Fine-tuned based on the wav2vec2-base pre-trained model, improving performance for specific speech recognition tasks

Low Word Error Rate

Achieves a word error rate (WER) of 0.4499 on the evaluation set, demonstrating good performance

Speech Recognition

Automatic Speech-to-Text

Speech Transcription

Meeting Minutes

Automatically convert meeting recordings into text transcripts

Word error rate 0.4499

Voice Notes

Convert voice memos into searchable text

Training Loss	Epoch	Step	Validation Loss	Wer
3.4816	2.74	400	1.0717	0.8927
0.751	5.48	800	0.7155	0.7533
0.517	8.22	1200	0.7039	0.6675
0.3988	10.96	1600	0.5935	0.6149
0.3179	13.7	2000	0.6477	0.5999
0.2755	16.44	2400	0.5549	0.5798
0.2343	19.18	2800	0.6626	0.5798
0.2103	21.92	3200	0.6488	0.5674
0.1877	24.66	3600	0.5874	0.5339
0.1719	27.4	4000	0.6354	0.5389
0.1603	30.14	4400	0.6612	0.5210
0.1401	32.88	4800	0.6676	0.5131
0.1286	35.62	5200	0.6366	0.5075
0.1159	38.36	5600	0.6064	0.4977
0.1084	41.1	6000	0.6530	0.4835
0.0974	43.84	6400	0.6118	0.4853
0.0879	46.58	6800	0.6316	0.4770
0.0815	49.32	7200	0.6125	0.4664
0.0708	52.05	7600	0.6449	0.4683
0.0651	54.79	8000	0.6068	0.4571
0.0555	57.53	8400	0.6305	0.4499

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