Wav2vec2-large-xls-r-300m-my_hindi_home-colab open-source model

Wav2vec2 Large Xls R 300m My Hindi Home Colab

Developed by nimrah

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on a general speech dataset, suitable for speech recognition tasks.

Speech Recognition

Transformers

Open Source License:Apache-2.0 #Hindi speech recognition #Large-scale pre-training fine-tuning #Low-resource speech processing

Downloads 16

Release Time : 3/2/2022

Model Overview

This is a speech recognition model based on the wav2vec2 architecture, which may have been optimized for specific languages or accents after fine-tuning.

Model Features

Fine-tuned from large-scale pre-trained model

Fine-tuned from Facebook's wav2vec2-xls-r-300m model, inheriting its powerful speech feature extraction capabilities

Potential for multilingual support

The XLS-R architecture is designed to support multilingual speech recognition

Efficient training

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

Model Capabilities

Speech recognition

Speech-to-text

Audio feature extraction

Use Cases

Speech transcription

Hindi speech transcription

Convert Hindi speech to text

Voice assistants

Home voice assistant

Used for voice command recognition in home environments

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Wav2vec2 Large Xls R 300m My Hindi Home Colab

Model Overview

Model Features

Model Capabilities

Use Cases

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