mlsanityData to 7 Oct 2026

KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset

arXiv 2104.08459 ↗First posted 17 Apr 2021eess.AS cs.CL cs.SDcited by 13

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Abstract (arXiv)

This paper introduces a high-quality open-source speech synthesis dataset for Kazakh, a low-resource language spoken by over 13 million people worldwide. The dataset consists of about 93 hours of transcribed audio recordings spoken by two professional speakers (female and male). It is the first publicly available large-scale dataset developed to promote Kazakh text-to-speech (TTS) applications in both academia and industry. In this paper, we share our experience by describing the dataset development procedures and faced challenges, and discuss important future directions. To demonstrate the reliability of our dataset, we built baseline end-to-end TTS models and evaluated them using the subjective mean opinion score (MOS) measure. Evaluation results show that the best TTS models trained on our dataset achieve MOS above 4 for both speakers, which makes them applicable for practical use. The dataset, training recipe, and pretrained TTS models are freely available.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 14 of its 28 references that are in the map. First posted on arXiv 17 Apr 2021.

Builds on

14 of 28 references.

References · 14

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  3. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 800
  4. 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
  5. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 487
  6. 2019Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogramcited by 337
  7. 2018Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotroncited by 171
  8. 2020AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselinescited by 111
  9. 2017Deep Voice: Real-time Neural Text-to-Speechcited by 83
  10. 2019ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkitcited by 60
  11. 2019Almost Unsupervised Text to Speech and Automatic Speech Recognitioncited by 41
  12. 2018Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesiscited by 30
2 more
  1. 2019End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learningcited by 30
  2. 2020A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baselinecited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 2; 2023: 1; 2024: 1; 2025: 2; 2026: 3.

13 papers.

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  1. 2021A Survey on Neural Speech Synthesiscited by 182
  2. 2021KazNERD: Kazakh Named Entity Recognition Datasetcited by 15
  3. 2022KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topicscited by 10
  4. 2024Recent Advancements and Challenges of Turkic Central Asian Language Processingcited by 6
  5. 2021USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experimentscited by 4
  6. 2021A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and Englishcited by 4
  7. 2025Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakhcited by 4
  8. 2023Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliterationcited by 2
  9. 2025Inclusivity of AI Speech in Healthcare: A Decade Look Backcited by 2
  10. 2022IMaSC -- ICFOSS Malayalam Speech Corpuscited by 1
  11. 2026Lost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcriptscited by 1
  12. 2026GigaAM Multilingual: Foundation Model for Underrepresented Languagescited by 0
1 more
  1. 2026TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audiocited by 0