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Sprachsynthese -- State-of-the-Art in englischer und deutscher Sprache

arXiv 2106.06230 ↗First posted 11 Jun 2021cs.CL cs.AIcited by 0

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Abstract (arXiv)

Reading text aloud is an important feature for modern computer applications. It not only facilitates access to information for visually impaired people, but is also a pleasant convenience for non-impaired users. In this article, the state of the art of speech synthesis is presented separately for mel-spectrogram generation and vocoders. It concludes with an overview of available data sets for English and German with a discussion of the transferability of the good speech synthesis results from English to German language.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 24 of its 35 references that are in the map. First posted on arXiv 11 Jun 2021.

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References · 24

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  3. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
  4. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 800
  5. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 710
  6. 2020WaveGrad: Estimating Gradients for Waveform Generationcited by 620
  7. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 487
  8. 2019MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesiscited by 351
  9. 2019Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogramcited by 337
  10. 2018WaveGlow: A Flow-based Generative Network for Speech Synthesiscited by 308
  11. 2020Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Searchcited by 269
  12. 2017Parallel WaveNet: Fast High-Fidelity Speech Synthesiscited by 214
12 more
  1. 2020FastPitch: Parallel Text-to-speech with Pitch Predictioncited by 150
  2. 2018LPCNet: Improving Neural Speech Synthesis Through Linear Predictioncited by 109
  3. 2019High Fidelity Speech Synthesis with Adversarial Networkscited by 90
  4. 2018ClariNet: Parallel Wave Generation in End-to-End Text-to-Speechcited by 70
  5. 2020Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speechcited by 63
  6. 2020Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesiscited by 54
  7. 2020Parallel Tacotron: Non-Autoregressive and Controllable TTScited by 49
  8. 2020AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignmentcited by 20
  9. 2018Effect of data reduction on sequence-to-sequence neural TTScited by 16
  10. 2020SpeedySpeech: Efficient Neural Speech Synthesiscited by 15
  11. 2020TalkNet: Fully-Convolutional Non-Autoregressive Speech Synthesis Modelcited by 9
  12. 2019Towards Robust Neural Vocoding for Speech Generation: A Surveycited by 8

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