OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics

Wei Chu; Yuanzhe Dong; Ke Tan; Dong Han; Xavier Menendez-Pidal; Ruchao Fan; Chenfeng Miao; Chanwoo Kim; Bhiksha Raj; Rita Singh

OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics

Computation and Language 2025-09-08 v1

Authors: Wei Chu , Yuanzhe Dong , Ke Tan , Dong Han , Xavier Menendez-Pidal , Ruchao Fan , Chenfeng Miao , Chanwoo Kim , Bhiksha Raj , Rita Singh

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Abstract

OleSpeech-IV dataset is a large-scale multispeaker and multilingual conversational speech dataset with diverse topics. The audio content comes from publicly-available English podcasts, talk shows, teleconferences, and other conversations. Speaker names, turns, and transcripts are human-sourced and refined by a proprietary pipeline, while additional information such as timestamps and confidence scores is derived from the pipeline. The IV denotes its position as Tier IV in the Olewave dataset series. In addition, we have open-sourced a subset, OleSpeech-IV-2025-EN-AR-100, for non-commercial research use.

Keywords

conversational speech dataset multilingual multispeaker speech transcription OleSpeech-IV

Cite

@article{arxiv.2509.04702,
  title  = {OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics},
  author = {Wei Chu and Yuanzhe Dong and Ke Tan and Dong Han and Xavier Menendez-Pidal and Ruchao Fan and Chenfeng Miao and Chanwoo Kim and Bhiksha Raj and Rita Singh},
  journal= {arXiv preprint arXiv:2509.04702},
  year   = {2025}
}

OleSpeech-IV: A Large-Scale Multispeaker and Multilingual Conversational Speech Dataset with Diverse Topics

Abstract

Keywords

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