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Wav2vec2 Xls R Openslr Hi V2

Developed by LegolasTheElf
This is an automatic speech recognition (ASR) model fine-tuned on Hindi speech datasets based on the facebook/wav2vec2-xls-r-300m model
Downloads 21
Release Time : 3/2/2022

Model Overview

This model is specifically optimized for Hindi speech recognition tasks, demonstrating low word error rate and character error rate on evaluation sets

Model Features

Optimized for Hindi Speech Recognition
Specially fine-tuned on the Harveenchadha/indic-voice Hindi dataset, optimized for Hindi speech characteristics
Low Error Rate
Achieves a word error rate (WER) of 0.3104 and a character error rate (CER) of 0.0958 on evaluation sets
Based on XLS-R Architecture
Utilizes facebook's wav2vec2-xls-r-300m pre-trained model as foundation, with powerful speech feature extraction capabilities

Model Capabilities

Hindi speech-to-text
Continuous speech recognition
Speech content transcription

Use Cases

Speech Transcription
Hindi Meeting Minutes
Automatically transcribe Hindi meeting recordings into text records
Approximately 90.42% accuracy (based on CER)
Voice Assistant
Provide speech recognition capabilities for Hindi voice assistants
Educational Applications
Language Learning Assistance
Help learners practice Hindi pronunciation and receive instant feedback
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