wav2vec2-xls-r-300m-hy-AM-CV8-v1 Open-source Speech Recognition Model - Accurately Identify General Speech Content

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Wav2vec2 Xls R 300m Hy AM CV8 V1

Developed by emre

A speech recognition model fine-tuned on a general speech dataset based on facebook/wav2vec2-xls-r-300m

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Robust Speech Recognition #Multilingual Support #Low Word Error Rate

Downloads 17

Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of wav2vec2-xls-r-300m, focusing on speech recognition tasks and trained on a general speech dataset.

Model Features

Based on wav2vec2-xls-r Architecture

Uses facebook's wav2vec2-xls-r-300m as the base model, featuring powerful speech feature extraction capabilities.

Fine-tuned on General Speech Dataset

Fine-tuned on a general speech dataset, enhancing the model's generalization ability.

Low Word Error Rate

Achieved a word error rate (WER) of 0.9598 on the evaluation set.

Model Capabilities

Speech Recognition

Audio to Text Conversion

Use Cases

Speech Transcription

Automatic Meeting Minutes Transcription

Automatically converts meeting recordings into text transcripts

Word error rate 0.9598

Voice Assistant

Serves as the backend recognition engine for voice assistants

Training Loss	Epoch	Step	Validation Loss	Wer
5.7132	83.31	500	1.9274	1.0523
1.017	166.62	1000	0.9145	0.9598

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Wav2vec2 Xls R 300m Hy AM CV8 V1

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 wav2vec2-xls-r-300m-hy-AM-CV8-v1

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

🔧 Technical Details

Training procedure

Training hyperparameters

Training results

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📄 License