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Wav2vec2 Phenome Based Alffaamharic
A wav2vec2-based speech recognition model, fine-tuned at the phoneme level for Amharic
Downloads 34
Release Time : 10/13/2023
Model Overview
This model is a speech recognition system based on the wav2vec2 architecture, specifically optimized at the phoneme level for Amharic. Suitable for automatic speech recognition tasks in Amharic.
Model Features
Phoneme-level optimization
Specifically optimized for the phonemic characteristics of Amharic
Efficient inference
Evaluation shows the ability to process 16 samples per second, demonstrating high inference efficiency
Model Capabilities
Amharic speech recognition
Phoneme-level speech processing
Use Cases
Speech technology
Amharic speech-to-text
Convert Amharic speech into text
Word error rate 35.43%
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