mlsanityData to 14 Oct 2026

TTS Skins: Speaker Conversion via ASR

arXiv 1904.08983 ↗First posted 18 Apr 2019cs.SD cs.LG stat.MLcited by 14

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Abstract (arXiv)

We present a fully convolutional wav-to-wav network for converting between speakers' voices, without relying on text. Our network is based on an encoder-decoder architecture, where the encoder is pre-trained for the task of Automatic Speech Recognition, and a multi-speaker waveform decoder is trained to reconstruct the original signal in an autoregressive manner. We train the network on narrated audiobooks, and demonstrate multi-voice TTS in those voices, by converting the voice of a TTS robot.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Apr 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 6; 2022: 3; 2023: 0; 2024: 3; 2025: 1; 2026: 1.

14 papers.

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  1. 2021Generative Spoken Language Modeling from Raw Audiocited by 340
  2. 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
  3. 2024AVFF: Audio-Visual Feature Fusion for Video Deepfake Detectioncited by 59
  4. 2022Deepfake Detection: A Comprehensive Survey from the Reliability Perspectivecited by 50
  5. 2021Textless Speech Emotion Conversion using Discrete and Decomposed Representationscited by 29
  6. 2022Zero-Shot Voice Conditioning for Denoising Diffusion TTS Modelscited by 20
  7. 2024PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Datasetcited by 16
  8. 2021Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniquescited by 11
  9. 2021High Fidelity Speech Regeneration with Application to Speech Enhancementcited by 10
  10. 2021Discovery of Single Independent Latent Variablecited by 3
  11. 2022HiFi-VC: High Quality ASR-Based Voice Conversioncited by 3
  12. 2025Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian Approachcited by 1
2 more
  1. 2024Deep Learning Technology for Face Forgery Detection: A Surveycited by 0
  2. 2026UniAudio-Token: Empowering Semantic Speech Tokenizers with General Audio Perceptioncited by 0