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Wav2vec2 Large Xlsr 53 Demo Colab
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Wav2vec2 Large Xlsr 53 Demo Colab

Developed by Mahalakshmi
This is an automatic speech recognition model based on the wav2vec2 architecture, specifically optimized for the Tamil language and supporting Nepali speech recognition tasks.
Speech Recognition
Transformers
 OtherOpen Source License:Apache-2.0#Multilingual speech recognition#Low WER rate#XLSR-53 architecture
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is primarily used for automatic speech recognition (ASR) tasks, capable of converting Tamil and Nepali speech into text.

Model Features

Multilingual Support
Supports speech recognition for Tamil and Nepali languages.
High Performance
Achieves a test WER of 25.02 on the openslr dataset, demonstrating excellent performance.
Based on wav2vec2 Architecture
Utilizes the advanced wav2vec2-large-xlsr-53 architecture, providing robust speech recognition capabilities.

Model Capabilities

Speech recognition
Multilingual processing

Use Cases

Speech-to-Text
Tamil Speech Transcription
Converts Tamil speech into text, suitable for applications like voice assistants and subtitle generation.
Test WER of 25.02
Nepali Speech Transcription
Converts Nepali speech into text, suitable for applications like voice assistants and subtitle generation.
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