Whisper and MMS tested for zero-shot audio generation
This article describes a research paper investigating the zero-shot audio generation capabilities of Automatic Speech Recognition (ASR) foundation models, specifically Whisper and MMS. It focuses on their potential to generate audio despite being primarily trained for speech recognition tasks. The research explores how well these models can perform tasks like speech synthesis without explicit training for audio generation.
Key Takeaways
- The paper tests Whisper and MMS, two ASR foundation models, for zero-shot audio generation.
- Both models were trained primarily for speech recognition, not audio synthesis.
- The study examines speech synthesis-style output without explicit training for generation.
Why It Matters
The immediate signal is that speech recognition foundation models are being evaluated for a second function: generating audio without task-specific training. That matters because Whisper and MMS already sit in the speech stack as ASR systems, so any demonstrated zero-shot generation capability would blur the line between recognition and synthesis. The article does not report performance numbers, so the main next signal to watch is whether the paper shows usable zero-shot output from either Whisper or MMS, and under what conditions it appears.
Read full article at huggingface.co
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