Balalaika pipeline enhances Russian speech data with prosody-aware annotations

Researchers have developed Balalaika, an open-source pipeline designed for annotating Russian speech data with a focus on prosody. This system integrates semantic voice activity detection, multi-ASR ensembling, and automatic quality filtering to create a 5.1k-hour corpus. The pipeline also enriches the text with punctuation, lexical stress, and phoneme normalization, demonstrating consistent improvements in speech denoising and text-to-speech synthesis. AI

影响 Introduces a new pipeline for processing and annotating Russian speech data, potentially improving downstream speech synthesis and denoising models.

排序理由 This is a research paper describing a new data annotation pipeline for speech. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

• arXiv
• Hugging Face
• Russian
• Kirill Borodin

• 论文
• 其他

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