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New Nord-Parl-TTS dataset boosts Finnish and Swedish speech synthesis

Researchers have introduced Nord-Parl-TTS, a new open dataset for text-to-speech (TTS) development in Finnish and Swedish. The dataset comprises approximately 900 hours of Finnish and 5090 hours of Swedish speech, extracted from recordings of Nordic parliamentary proceedings. This initiative aims to bridge the resource gap in TTS technology between high-resource and lower-resourced languages, facilitating improved model development and benchmarking. AI

IMPACT Provides crucial open-source data to advance speech synthesis capabilities for under-resourced languages like Finnish and Swedish.

RANK_REASON The cluster describes a new academic dataset release for speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Nord-Parl-TTS dataset boosts Finnish and Swedish speech synthesis

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The cluster describes a new academic dataset release for speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Zirui Li, Jens Edlund, Yicheng Gu, Nhan Phan, Lauri Juvela, Mikko Kurimo ·

    Nord-Parl-TTS: Finnish and Swedish TTS Dataset from Parliament Speech

    arXiv:2509.17988v2 Announce Type: cross Abstract: Text-to-speech (TTS) development is limited by scarcity of high-quality, publicly available speech data for most languages outside a few high-resource languages. We present Nord-Parl-TTS, an open TTS dataset for Finnish and Swedis…