Summary
The post compares three leading open-source Automatic Speech Recognition (ASR) models: IBM's Granite-4.0-1b-speech, Alibaba's Qwen3-ASR-1.7B, and Mistral's Voxtral Mini 4B Realtime. All are Apache 2.0 licensed and target speech recognition, but vary in parameter size (1B to 4B) and appear to address different use cases. The author seeks insights from users who have deployed these models.
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