mlsanityData to 7 Oct 2026

HUI-Audio-Corpus-German: A high quality TTS dataset

arXiv 2106.06309 ↗First posted 11 Jun 2021cs.SD cs.CL eess.AScited by 14

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Abstract (arXiv)

The increasing availability of audio data on the internet lead to a multitude of datasets for development and training of text to speech applications, based on neural networks. Highly differing quality of voice, low sampling rates, lack of text normalization and disadvantageous alignment of audio samples to corresponding transcript sentences still limit the performance of deep neural networks trained on this task. Additionally, data resources in languages like German are still very limited. We introduce the "HUI-Audio-Corpus-German", a large, open-source dataset for TTS engines, created with a processing pipeline, which produces high quality audio to transcription alignments and decreases manual effort needed for creation.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 9 of its 17 references that are in the map. First posted on arXiv 11 Jun 2021.

Builds on

9 of 17 references.

References · 9

  1. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  2. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
  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. 2020WaveGrad: Estimating Gradients for Waveform Generationcited by 620
  6. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 487
  7. 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 467
  8. 2020Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speechcited by 63
  9. 2019CSS10: A Collection of Single Speaker Speech Datasets for 10 Languagescited by 54

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 5; 2023: 4; 2024: 2; 2025: 1; 2026: 1.

14 papers.

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  1. 2021A Survey on Neural Speech Synthesiscited by 182
  2. 2023A Representative Study on Human Detection of Artificially Generated Media Across Countriescited by 22
  3. 2022Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Featurescited by 20
  4. 2022Low-Resource Multilingual and Zero-Shot Multispeaker TTScited by 15
  5. 2022Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speechcited by 13
  6. 2024Meta Learning Text-to-Speech Synthesis in over 7000 Languagescited by 9
  7. 2022PoeticTTS -- Controllable Poetry Reading for Literary Studiescited by 5
  8. 2024Remastering Divide and Remaster: A Cinematic Audio Source Separation Dataset with Multilingual Supportcited by 5
  9. 2025Finite Scalar Quantization Enables Redundant and Transmission-Robust Neural Audio Compression at Low Bit-ratescited by 2
  10. 2022ASR in German: A Detailed Error Analysiscited by 1
  11. 2023ASR Bundestag: A Large-Scale political debate dataset in Germancited by 1
  12. 2023Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directionscited by 1
2 more
  1. 2023ArmanTTS single-speaker Persian datasetcited by 0
  2. 2026Lightweight and perceptually-guided voice conversion for electro-laryngeal speechcited by 0