mlsanityData to 7 Oct 2026

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

arXiv 1904.02882 ↗First posted 5 Apr 2019cs.SD eess.AScited by 639

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Cited by 107 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper introduces a new speech corpus called "LibriTTS" designed for text-to-speech use. It is derived from the original audio and text materials of the LibriSpeech corpus, which has been used for training and evaluating automatic speech recognition systems. The new corpus inherits desired properties of the LibriSpeech corpus while addressing a number of issues which make LibriSpeech less than ideal for text-to-speech work. The released corpus consists of 585 hours of speech data at 24kHz sampling rate from 2,456 speakers and the corresponding texts. Experimental results show that neural end-to-end TTS models trained from the LibriTTS corpus achieved above 4.0 in mean opinion scores in naturalness in five out of six evaluation speakers. The corpus is freely available for download from http://www.openslr.org/60/.

Key facts. Cited by 639 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Apr 2019.

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Citing papers per year: 2021: 54; 2022: 71; 2023: 83; 2024: 151; 2025: 160; 2026: 120.

639 papers.

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  1. 2021SoundStream: An End-to-End Neural Audio Codeccited by 756
  2. 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 737
  3. 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scalecited by 373
  4. 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matchingcited by 353
  5. 2023Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Modelscited by 323
  6. 2024CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokenscited by 323
  7. 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 277
  8. 2022BigVGAN: A Universal Neural Vocoder with Large-Scale Trainingcited by 245
  9. 2023NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizerscited by 233
  10. 2025Kimi-Audio Technical Reportcited by 210
  11. 2024Mini-Omni: Language Models Can Hear, Talk While Thinking in Streamingcited by 204
  12. 2024Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generationcited by 200
38 more
  1. 2021A Survey on Neural Speech Synthesiscited by 182
  2. 2021SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processingcited by 177
  3. 2024XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Modelcited by 174
  4. 2023Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesiscited by 150
  5. 2023StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Modelscited by 148
  6. 2022ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speechcited by 147
  7. 2021FedScale: Benchmarking Model and System Performance of Federated Learning at Scalecited by 135
  8. 2024WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modelingcited by 124
  9. 2023Audiobox: Unified Audio Generation with Natural Language Promptscited by 120
  10. 2024VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wildcited by 118
  11. 2024FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMscited by 118
  12. 2021Emotional Voice Conversion: Theory, Databases and ESDcited by 113
  13. 2025Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokenscited by 109
  14. 2022PromptTTS: Controllable Text-to-Speech with Text Descriptionscited by 106
  15. 2021Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Schemecited by 99
  16. 2023Joint Audio and Speech Understandingcited by 99
  17. 2021AdaSpeech: Adaptive Text to Speech for Custom Voicecited by 98
  18. 2021Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generationcited by 93
  19. 2024WavChat: A Survey of Spoken Dialogue Modelscited by 88
  20. 2024Recent Advances in Speech Language Models: A Surveycited by 85
  21. 2021Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representationscited by 81
  22. 2022FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversioncited by 79
  23. 2025Ola: Pushing the Frontiers of Omni-Modal Language Modelcited by 79
  24. 2024Addressing Representation Collapse in Vector Quantized Models with One Linear Layercited by 77
  25. 2024Detecting Multimedia Generated by Large AI Models: A Surveycited by 73
  26. 2022CVSS Corpus and Massively Multilingual Speech-to-Speech Translationcited by 71
  27. 2023Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation taskscited by 71
  28. 2021Translatotron 2: High-quality direct speech-to-speech translation with voice preservationcited by 69
  29. 2022DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speechcited by 67
  30. 2024Autoregressive Speech Synthesis without Vector Quantizationcited by 65
  31. 2023Better speech synthesis through scalingcited by 63
  32. 2024Language Model Can Listen While Speakingcited by 62
  33. 2024OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversationcited by 57
  34. 2026PersonaPlex: Voice and Role Control for Full Duplex Conversational Speech Modelscited by 57
  35. 2023Generative Pre-training for Speech with Flow Matchingcited by 55
  36. 2023An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initializationcited by 53
  37. 2023VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matchingcited by 49
  38. 2023DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencodercited by 48

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