mlsanityData to 7 Oct 2026

JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification

arXiv 2112.09323 ↗First posted 17 Dec 2021cs.SD eess.AScited by 21

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Abstract (arXiv)

In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for languages other than English have not yet been established. In this paper, we describe the construction of a corpus from YouTube videos and subtitles for speech recognition and speaker verification. Our method can automatically filter the videos and subtitles with almost no language-dependent processes. We consistently employ Connectionist Temporal Classification (CTC)-based techniques for automatic speech recognition (ASR) and a speaker variation-based method for automatic speaker verification (ASV). We build 1) a large-scale Japanese ASR benchmark with more than 1,300 hours of data and 2) 900 hours of data for Japanese ASV.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Dec 2021.

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Citing papers per year: 2023: 4; 2024: 13; 2025: 3; 2026: 1.

21 papers.

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  1. 2024YODAS: Youtube-Oriented Dataset for Audio and Speechcited by 56
  2. 2024On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Modelscited by 10
  3. 2024MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Researchcited by 9
  4. 2024SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognitioncited by 6
  5. 2024Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?cited by 5
  6. 2025MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMscited by 4
  7. 2024Low-resource speech recognition and dialect identification of Irish in a multi-task frameworkcited by 3
  8. 2025Whale: Large-Scale multilingual ASR model with w2v-BERT and E-Branchformer with large speech datacited by 3
  9. 2023Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identificationcited by 2
  10. 2024J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modelingcited by 2
  11. 2023Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adaptercited by 0
  12. 2023GMTR: Graph Matching Transformerscited by 0
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  2. 2024TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processingcited by 0
  3. 2024TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networkscited by 0
  4. 2024T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Imagecited by 0
  5. 2024Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithmscited by 0
  6. 2024Towards General Deepfake Detection with Dynamic Curriculumcited by 0
  7. 2024Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphscited by 0
  8. 2025Mask6D: Masked Pose Priors For 6D Object Pose Estimationcited by 0
  9. 2026Whisper-Based Speech Transcription from Videos Across Multiple Languages for Cross-Cultural Understandingcited by 0