mlsanityData to 7 Oct 2026

Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder

arXiv 2211.03316 ↗First posted 7 Nov 2022eess.AS cs.LG cs.SDcited by 2

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Abstract (arXiv)

Accent plays a significant role in speech communication, influencing one's capability to understand as well as conveying a person's identity. This paper introduces a novel and efficient framework for accented Text-to-Speech (TTS) synthesis based on a Conditional Variational Autoencoder. It has the ability to synthesize a selected speaker's voice, and convert this to any desired target accent. Our thorough experiments validate the effectiveness of the proposed framework using both objective and subjective evaluations. The results also show remarkable performance in terms of the model's ability to manipulate accents in the synthesized speech. Overall, our proposed framework presents a promising avenue for future accented TTS research.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 15 of its 31 references that are in the map. First posted on arXiv 7 Nov 2022.

Builds on

15 of 31 references.

References · 15

  1. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
  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. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 710
  5. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 487
  6. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 257
  7. 2020An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learningcited by 111
  8. 2018Hierarchical Generative Modeling for Controllable Speech Synthesiscited by 93
  9. 2018Learning latent representations for style control and transfer in end-to-end speech synthesiscited by 61
  10. 2021One TTS Alignment To Rule Them Allcited by 47
  11. 2020Accent and Speaker Disentanglement in Many-to-many Voice Conversioncited by 15
  12. 2022Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Datacited by 15
3 more
  1. 2022Layer-wise Fast Adaptation for End-to-End Multi-Accent Speech Recognitioncited by 12
  2. 2022Cross-speaker style transfer for text-to-speech using data augmentationcited by 9
  3. 2022Controllable Accented Text-to-Speech Synthesiscited by 2

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Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.

  1. 2025MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesiscited by 39
  2. 2024DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speechcited by 3