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Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations

arXiv 2505.05056 ↗First posted 8 May 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

This paper reports the construction of the Teochew-Wild, a speech corpus of the Teochew dialect. The corpus includes 18.9 hours of in-the-wild Teochew speech data from multiple speakers, covering both formal and colloquial expressions, with precise orthographic and pinyin annotations. Additionally, we provide supplementary text processing tools and resources to propel research and applications in speech tasks for this low-resource language, such as automatic speech recognition (ASR) and text-to-speech (TTS). To the best of our knowledge, this is the first publicly available Teochew dataset with accurate orthographic annotations. We conduct experiments on the corpus, and the results validate its effectiveness in ASR and TTS tasks.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 25 of its 30 references that are in the map. First posted on arXiv 8 May 2025.

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References · 25

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  3. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,342
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  7. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
  8. 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 752
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  10. 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 649
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  12. 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 399
13 more
  1. 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matchingcited by 361
  2. 2024CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokenscited by 334
  3. 2024Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generationcited by 204
  4. 2021WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognitioncited by 197
  5. 2020fairseq S2T: Fast Speech-to-Text Modeling with fairseqcited by 176
  6. 2021DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressorscited by 172
  7. 2024MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformercited by 161
  8. 2024Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognitioncited by 63
  9. 2020LRSpeech: Extremely Low-Resource Speech Synthesis and Recognitioncited by 43
  10. 2024WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmarkcited by 40
  11. 2024Moonshine: Speech Recognition for Live Transcription and Voice Commandscited by 19
  12. 2023AutoPrep: An Automatic Preprocessing Framework for In-the-Wild Speech Datacited by 16
  13. 2023Low-Resource Self-Supervised Learning with SSL-Enhanced TTScited by 4

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