Wav2vec2-5 Open-Source Speech Recognition Model - Free Deployment to Boost Automatic Speech Recognition Tasks

Wav2vec2 5

Developed by chrisvinsen

A fine-tuned speech recognition model based on facebook/wav2vec2-base, primarily used for Automatic Speech Recognition (ASR) tasks

Downloads 20

Release Time : 5/22/2022

Model Overview

This model is a fine-tuned speech recognition model based on the wav2vec2-base architecture, suitable for converting speech to text.

Based on wav2vec2 architecture

Utilizes the wav2vec2-base architecture developed by Facebook Research, featuring excellent speech feature extraction capabilities

Fine-tuning optimization

Fine-tuned on the base model, potentially optimized for specific speech recognition tasks

Speech Recognition

Audio to Text Conversion

Speech Transcription

Meeting Minutes

Automatically convert meeting recordings into written transcripts

Voice Notes

Convert voice memos into searchable text

Assistive Technology

Real-time Caption Generation

Generate real-time captions for video or live streaming content

Training Loss	Epoch	Step	Validation Loss	Wer
3.4082	1.37	200	3.3181	1.0
2.8798	2.74	400	2.9921	1.0
2.8703	4.11	600	3.1937	1.0
2.8643	5.48	800	3.0304	1.0
2.8655	6.85	1000	3.0321	1.0
2.8655	8.22	1200	3.0716	1.0
2.863	9.59	1400	3.1764	1.0
2.8567	10.96	1600	3.0600	1.0
2.861	12.33	1800	3.1761	1.0
2.8606	13.7	2000	3.1028	1.0
2.8613	15.07	2200	3.2119	1.0
2.8612	16.44	2400	3.1158	1.0
2.8603	17.81	2600	3.1230	1.0
2.8601	19.18	2800	3.0380	1.0
2.856	20.55	3000	3.0729	1.0
2.8557	21.92	3200	3.0511	1.0
2.8556	23.29	3400	3.0710	1.0
2.8552	24.66	3600	3.1364	1.0
2.8574	26.03	3800	3.0104	1.0
2.8543	27.4	4000	3.1068	1.0
2.8558	28.77	4200	3.0700	1.0

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