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Aspram
Armenian automatic speech recognition model based on wav2vec2-xls-r-2b architecture, supporting hy/hye language
Downloads 170
Release Time : 5/17/2022
Model Overview
This model is an automatic speech recognition (ASR) system specifically optimized for Armenian, capable of converting Armenian audio into text.
Model Features
Multilingual support
Specifically optimized for Armenian, while potentially supporting other languages
Large-scale pre-training
Based on the large-scale wav2vec2-xls-r model with 2 billion parameters
High-quality dataset
Trained using high-quality speech datasets such as Common Voice 9.0 and FLEURS
Model Capabilities
Armenian audio to text conversion
Speech recognition
Multilingual processing
Use Cases
Speech transcription
Armenian meeting minutes
Automatically convert Armenian meeting recordings into text transcripts
Voice assistant
Provide voice interaction functionality for Armenian-speaking users
Education
Language learning applications
Help learners practice Armenian pronunciation and listening skills
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