Nari Labs has released a specialized inference engine for Qwen3-TTS and Qwen3-ASR speech models, demonstrating that open-source alternatives can achieve comparable or superior performance to closed-source options. This development is significant because it promises faster, cheaper, and more accurate text-to-speech and automatic speech recognition capabilities for developers integrating these technologies into applications. Nari Labs plans to further reduce costs and expand its audio offerings, including diarization and video inference.
Read the full article at Hacker News
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