Autotts: End-to-End Text-to-Speech Synthesis Through Differentiable Duration Modeling
Author:
Affiliation:
1. Stuttgart Laboratory 1,Sony Europe B.V., R&D Center,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095431.pdf?arnumber=10095431
Reference34 articles.
1. Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
2. Parallel Tacotron: Non-Autoregressive and Controllable TTS
3. Naturalspeech: End-to-end text to speech synthesis with human-level quality;tan,2022
4. Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS
5. Grad-tts: A diffusion probabilistic model for text-to-speech;popov;ICML,2021
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Fast Neural Speech Waveform Generative Models With Fully-Connected Layer-Based Upsampling;IEEE Access;2024
2. WaveNeXt: ConvNeXt-Based Fast Neural Vocoder Without ISTFT layer;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
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