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Wav2vec2 Base Toy Train Data Augmented

Developed by scasutt
A fine-tuned speech recognition model based on facebook/wav2vec2-base, optimized with augmented training data.
Downloads 22
Release Time : 3/26/2022

Model Overview

This model is a speech recognition model based on the wav2vec2 architecture, improved in recognition accuracy through fine-tuning on specific datasets.

Model Features

Data Augmentation Training
The model employs data augmentation techniques during training to enhance generalization capabilities.
Low Word Error Rate
After fine-tuning, the model achieves a low word error rate (WER) on the validation set.

Model Capabilities

Speech Recognition
Audio to Text

Use Cases

Speech Transcription
Meeting Minutes Transcription
Automatically transcribe meeting recordings into text for easy documentation and retrieval.
Voice Assistant
Used in the speech recognition module of voice assistants to improve recognition accuracy.
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