wav2vec2-base-timit-demo-colab Open-Source Speech Recognition Model - Accurately Recognize Speech in the TIMIT Dataset

Wav2vec2 Base Timit Demo Colab

Developed by roshantushar

A speech recognition model fine-tuned based on facebook/wav2vec2-base, suitable for TIMIT dataset demonstration

Downloads 24

Release Time : 5/2/2022

Model Overview

This model is a speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, primarily used for speech-to-text tasks.

Based on wav2vec2 Architecture

Utilizes facebook's wav2vec2-base architecture with excellent speech feature extraction capabilities

Fine-tuned on TIMIT Dataset

Fine-tuned on the TIMIT speech dataset, suitable for English speech recognition tasks

Colab Demo Support

Provides a Colab demo environment for quick testing and evaluation

English Speech Recognition

Speech-to-Text

Speech Processing

English Speech Transcription

Convert English speech content into text

Voice Command Recognition

Recognize simple English voice commands

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base