✨Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models
📝 Summary:
Full-duplex speech models need high-quality multi-speaker conversational data, which is scarce and difficult to process due to natural dialogue dynamics. This paper introduces Sommelier, a robust, scalable, open-source data processing pipeline to address this data bottleneck.
🔹 Publication Date: Published on Mar 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25750
• PDF: https://arxiv.org/pdf/2603.25750
• Project Page: https://kyudan1.github.io/sommelier.github.io//
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SpeechAI #AudioProcessing #DataProcessing #OpenSource #NLP
📝 Summary:
Full-duplex speech models need high-quality multi-speaker conversational data, which is scarce and difficult to process due to natural dialogue dynamics. This paper introduces Sommelier, a robust, scalable, open-source data processing pipeline to address this data bottleneck.
🔹 Publication Date: Published on Mar 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25750
• PDF: https://arxiv.org/pdf/2603.25750
• Project Page: https://kyudan1.github.io/sommelier.github.io//
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SpeechAI #AudioProcessing #DataProcessing #OpenSource #NLP