mlsanityData to 14 Oct 2026

ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian

arXiv 2511.01619 ↗First posted 3 Nov 2025cs.CLcited by 1

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Abstract (arXiv)

ParlaSpeech is a collection of spoken parliamentary corpora currently spanning four Slavic languages - Croatian, Czech, Polish and Serbian - all together 6 thousand hours in size. The corpora were built in an automatic fashion from the ParlaMint transcripts and their corresponding metadata, which were aligned to the speech recordings of each corresponding parliament. In this release of the dataset, each of the corpora is significantly enriched with various automatic annotation layers. The textual modality of all four corpora has been enriched with linguistic annotations and sentiment predictions. Similar to that, their spoken modality has been automatically enriched with occurrences of filled pauses, the most frequent disfluency in typical speech. Two out of the four languages have been additionally enriched with detailed word- and grapheme-level alignments, and the automatic annotation of the position of primary stress in multisyllabic words. With these enrichments, the usefulness of the underlying corpora has been drastically increased for downstream research across multiple disciplines, which we showcase through an analysis of acoustic correlates of sentiment. All the corpora are made available for download in JSONL and TextGrid formats, as well as for search through a concordancer.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 47 references that are in the map. First posted on arXiv 3 Nov 2025.

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13 of 47 references.

References · 13

  1. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
  2. 2023Seamless: Multilingual Expressive and Streaming Speech Translationcited by 192
  3. 2021SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speechcited by 72
  4. 2021SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stuttercited by 52
  5. 2019Disfluencies and Human Speech Transcription Errorscited by 21
  6. 2022KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stutteringcited by 21
  7. 2025NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizationscited by 15
  8. 2020FT Speech: Danish Parliament Speech Corpuscited by 8
  9. 2023CLASSLA-Stanza: The Next Step for Linguistic Processing of South Slavic Languagescited by 7
  10. 2024The ParlaSpeech Collection of Automatically Generated Speech and Text Datasets from Parliamentary Proceedingscited by 5
  11. 2018DisMo: A Morphosyntactic, Disfluency and Multi-Word Unit Annotator. An Evaluation on a Corpus of French Spontaneous and Read Speechcited by 3
  12. 2025Identifying Primary Stress Across Related Languages and Dialects with Transformer-based Speech Encoder Modelscited by 2
1 more
  1. 2025How Does a Deep Neural Network Look at Lexical Stress in English Words?cited by 1

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