wav2vec2-large-xls-r-300m-bn-colab Open-source Speech Recognition Model - Free Deployment for Bengali Transcription

Wav2vec2 Large Xls R 300m Bn Colab

Developed by rhr99

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.

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Bengali speech recognition #XLS-R architecture #Low-resource optimization

Downloads 18

Release Time : 6/23/2022

Model Overview

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

Model Features

Fine-tuned based on large-scale pre-trained model

Optimized for Bengali based on facebook/wav2vec2-xls-r-300m

Multilingual support

Focused on Bengali speech recognition while potentially retaining the original model's multilingual capabilities

Efficient training

Optimized training efficiency using techniques like mixed-precision training and gradient accumulation

Model Capabilities

Speech recognition

Audio-to-text conversion

Bengali language processing

Use Cases

Speech transcription

Bengali speech-to-text

Convert Bengali speech content into text

Word Error Rate (WER) 0.9861

Voice assistants

Bengali voice command recognition

Used for understanding Bengali voice commands

Training Loss	Epoch	Step	Validation Loss	Wer
5.278	0.88	400	2.1963	1.0
0.8479	1.77	800	0.4662	0.9861

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Wav2vec2 Large Xls R 300m Bn Colab

Model Overview

Model Features

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Use Cases

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