W

Wav2vec2 Tellmate

Developed by leomino
A speech recognition model optimized for chess coordinate recognition, fine-tuned using nearly 2,500 English chess coordinate audio files
Downloads 27
Release Time : 2/15/2025

Model Overview

Wav2Vec2-Tellmate is an automatic speech recognition model fine-tuned based on Facebook's Wav2Vec2-base model, specializing in fast and accurate recognition of chessboard coordinates.

Model Features

Chess Coordinate Optimization
Specially trained for chess coordinate recognition to improve accuracy
Lightweight Model
Based on the Wav2Vec2-base architecture, maintaining relative lightness while delivering good performance
Fast Response
Optimized for short voice commands (e.g., chessboard coordinates) to achieve quick recognition

Model Capabilities

English Speech Recognition
Chess Coordinate Recognition
Short Voice Command Processing

Use Cases

Chess Applications
Voice-Controlled Chess Software
Control digital chess applications by voice input of chessboard coordinates
Fast and accurate coordinate recognition
Chess Teaching Aid
Used for voice interaction in chess teaching
Enhances teaching interactivity
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase