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Wav2vec2 Base Toy Train Data Fast 10pct

Developed by scasutt
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on an unknown dataset, trained using a 10% data subset.
Downloads 22
Release Time : 3/26/2022

Model Overview

A fine-tuned model for Automatic Speech Recognition (ASR) based on the wav2vec2 architecture, suitable for English speech-to-text tasks.

Model Features

Efficient Training
Trained using a 10% data subset, suitable for rapid prototyping
Based on wav2vec2 Architecture
Utilizes the advanced speech representation learning architecture developed by Facebook Research
Linear Learning Rate Scheduling
Employs linear learning rate scheduling with warmup during training

Model Capabilities

English Speech Recognition
Audio Feature Extraction
Speech-to-Text

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert English meeting recordings into text transcripts
Word Error Rate (WER) approximately 0.7175
Voice Notes
Convert personal voice memos into searchable text
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