PVAE-TTS: Adaptive Text-to-Speech via Progressive Style Adaptation
Author:
Affiliation:
1. Korea University,Department of Artificial Intelligence,Seoul,Korea
2. Korea University,Department of Brain and Cognitive Engineering,Seoul,Korea
Funder
Korea University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747388.pdf?arnumber=9747388
Reference21 articles.
1. Sample Efficient Adaptive Text-to-Speech;chen;International Conference on Learning Representations (ICLR),2018
2. BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization
3. GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
4. AdaSpeech: Adaptive Text to Speech for Custom Voice;chen;International Conference on Learning Representations (ICLR),2021
5. BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling;maaløe;Advances in Neural IInformation Processing Systems,2019
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1. Latent Filling: Latent Space Data Augmentation for Zero-Shot Speech Synthesis;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. DiffProsody: Diffusion-Based Latent Prosody Generation for Expressive Speech Synthesis With Prosody Conditional Adversarial Training;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
3. CyFi-TTS: Cyclic Normalizing Flow with Fine-Grained Representation for End-to-End Text-to-Speech;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
4. PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-Based Prosody Modeling;Lecture Notes in Computer Science;2023
5. Investigations on speaker adaptation using a continuous vocoder within recurrent neural network based text-to-speech synthesis;Multimedia Tools and Applications;2022-10-22
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