Wav2vec2 Nepali Stt
A Nepali speech recognition model based on the Wav2Vec2 architecture, capable of directly converting Nepali speech into text
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Release Time : 3/2/2022
Model Overview
This model is an end-to-end automatic speech recognition (ASR) system optimized for Nepali, implemented using Facebook's Wav2Vec2 architecture, capable of completing speech transcription tasks without additional language models
Model Features
End-to-end speech recognition
Processes raw audio input directly and outputs text transcription without requiring additional language models
Nepali language optimization
Specially trained and optimized for Nepali speech characteristics
Lightweight deployment
The model can be used directly without complex dependencies or additional components
Model Capabilities
Nepali speech to text
Real-time speech recognition
Audio content transcription
Use Cases
Speech transcription
Nepali meeting minutes
Automatically converts Nepali meeting recordings into text transcripts
Improves meeting documentation efficiency and facilitates subsequent retrieval and analysis
Voice assistant
Provides voice interaction capabilities for Nepali-speaking users
Supports Nepali voice command recognition
EdTech
Language learning assistance
Helps learners verify the accuracy of Nepali pronunciation
Provides instant pronunciation feedback
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