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Bangla Asr

Developed by danielbubiola
A fine-tuned Bengali automatic speech recognition (ASR) model based on Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is an optimized automatic speech recognition system for Bengali, achieving a 45.07% word error rate (WER) on the evaluation set

Model Features

Low word error rate
Achieved a 45.07% word error rate on the evaluation set, outperforming the base model
Optimized training
Fine-tuned for 60 epochs using linear learning rate scheduling with warm-up strategy

Model Capabilities

Bengali speech recognition
Audio to text conversion

Use Cases

Speech transcription
Meeting minutes
Convert Bengali meeting recordings into text transcripts
Voice assistant
Provide voice input support for Bengali-speaking users
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