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Wav2vec2 Base Dataset Asr Demo Colab
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Wav2vec2 Base Dataset Asr Demo Colab

Developed by aminnaghavi
This is a speech recognition model fine-tuned on the superb dataset based on distilhubert, primarily used for Automatic Speech Recognition (ASR) tasks.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Speech Recognition#Low Word Error Rate#Fine-tuned Model
Downloads 34
Release Time : 6/17/2022

Model Overview

This model is a fine-tuned speech recognition model based on ntu-spml/distilhubert, trained on the superb dataset, capable of converting speech to text.

Model Features

Efficient Speech Recognition
Fine-tuned on the superb dataset, offering good speech recognition capabilities
Lightweight Model
Based on the distilhubert architecture, more lightweight compared to the full model
Mixed Precision Training
Uses native AMP for mixed precision training, improving training efficiency

Model Capabilities

Speech-to-Text
Automatic Speech Recognition

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Subtitle Generation
Automatically generate subtitles for video content
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