W

Whisper Small Ta

Developed by navin-kumar-j
This model is a speech recognition model fine-tuned on the Tamil Common Voice 17.0 dataset based on OpenAI's Whisper Small, with a Word Error Rate (WER) of 43.23%.
Downloads 38
Release Time : 3/27/2025

Model Overview

This is an automatic speech recognition (ASR) model optimized for Tamil, fine-tuned based on the Whisper Small architecture, suitable for Tamil speech-to-text tasks.

Model Features

Tamil Optimization
Specifically fine-tuned for Tamil, offering better performance in Tamil recognition compared to the original Whisper model
Medium Scale
Based on the Whisper Small architecture, striking a balance between computational resources and performance
Open Source License
Uses Apache 2.0 license, allowing for both commercial and research use

Model Capabilities

Tamil speech recognition
Speech-to-text
Audio content transcription

Use Cases

Speech Transcription
Tamil Meeting Minutes
Automatically transcribe Tamil meeting recordings into text records
Word Error Rate approximately 43.23%
Voice Assistant
Used as a speech recognition component for Tamil voice assistant applications
Education
Language Learning Assistance
Help Tamil learners check pronunciation and speech accuracy
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase