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Whisper Telugu Medium

Developed by vasista22
Telugu speech recognition model fine-tuned based on OpenAI Whisper-medium, trained on multiple public Telugu ASR datasets
Downloads 228
Release Time : 12/20/2022

Model Overview

This model is an automatic speech recognition (ASR) model optimized for Telugu, capable of accurately transcribing Telugu speech into text

Model Features

Multi-dataset training
Combines multiple authoritative Telugu ASR datasets including CSTD IIIT-H, ULCA, and Shrutilipi
High performance
Achieves a word error rate (WER) of 9.47% on the Fleurs test set
Efficient inference support
Provides two inference solutions: standard transformers and whisper-jax, supporting GPU acceleration

Model Capabilities

Telugu speech recognition
Long audio processing (supports chunk processing)
Multi-scenario speech transcription

Use Cases

Speech transcription
Meeting minutes
Convert Telugu meeting recordings into text records
Highly accurate transcribed text
Media subtitle generation
Automatically generate subtitles for Telugu video content
Synchronized and accurate text subtitles
Voice assistant
Telugu voice interaction
Build voice assistant applications supporting Telugu
Natural and smooth voice interaction experience
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