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Whisper Large V2 Malayalam
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Whisper Large V2 Malayalam
Developed by DrishtiSharma
This is a fine-tuned version of the OpenAI Whisper Large V2 model for Malayalam speech recognition tasks, trained using the Common Voice 11.0 dataset
Downloads 23
Release Time : 12/16/2022
Model Overview
This model is specifically designed for Automatic Speech Recognition (ASR) tasks in Malayalam, as a fine-tuned version of the Whisper Large V2 architecture
Model Features
Malayalam Optimization
Specifically fine-tuned for Malayalam, improving recognition accuracy for this language
Based on Whisper Architecture
Utilizes OpenAI Whisper's advanced speech recognition architecture with powerful speech understanding capabilities
Trained on Common Voice Dataset
Trained using the high-quality open-source speech dataset Common Voice 11.0
Model Capabilities
Malayalam speech recognition
Speech-to-text conversion
Multi-domain speech transcription
Use Cases
Speech Transcription
Malayalam Speech Transcription
Convert Malayalam speech content into text
Achieved a word error rate of 27.46% on the Common Voice test set
Voice Assistants
Localized Voice Assistant
Provide voice interaction capabilities for Malayalam users
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