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Wav2vec Malayalam
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Wav2vec Malayalam

Developed by mohamed-illiyas
A Malayalam speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers
Open Source License:Apache-2.0#Malayalam Speech Recognition#XLS-R Architecture#Low-Resource Language Processing
Downloads 24
Release Time : 3/2/2022

Model Overview

This model is optimized for Malayalam speech recognition, fine-tuned on the wav2vec2-xls-r-300m architecture, suitable for Malayalam speech-to-text tasks.

Model Features

Based on XLS-R Architecture
Uses facebook's wav2vec2-xls-r-300m as the base model, featuring robust speech feature extraction capabilities.
Optimized for Malayalam
Specifically fine-tuned for Malayalam to improve recognition accuracy for this language.
Efficient Training
Employs techniques like gradient accumulation to achieve efficient training with limited resources.

Model Capabilities

Malayalam Speech Recognition
Audio-to-Text Conversion
Speech Transcription

Use Cases

Speech Transcription
Malayalam Meeting Minutes
Automatically convert Malayalam meeting recordings into text transcripts.
Voice Assistant
Provide voice interaction capabilities for Malayalam-speaking users.
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