# Bengali speech recognition

This is a Bengali automatic speech recognition model based on the Whisper small architecture, fine-tuned on approximately 400 hours of Mozilla Common Voice dataset with a word error rate of 4.58%

An automatic speech recognition (ASR) model fine-tuned on Bengali speech datasets based on OpenAI Whisper Large-v2

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the common_voice_9_0 dataset, supporting Bengali.

This is a Bengali speech recognition model fine-tuned on a specific dataset, primarily used for speech-to-text tasks.

Bengali speech recognition model based on wav2vec2-xls-r-300m architecture, fine-tuned for command recognition tasks

Bengali speech recognition model based on wav2vec2-xls-r-300m architecture, fine-tuned for specific command sets

A Bengali automatic speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, trained on the OpenSLR_SLR53 dataset

A fine-tuned Bengali automatic speech recognition (ASR) model based on Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200

A Bengali speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m, specializing in command word recognition