Search Results for author:
Found 4 papers, 3 papers with code
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
By leveraging the properties of flows, MAS searches for the most probable monotonic alignment between text and the latent representation of speech.
Ranked #4 on
Text-To-Speech Synthesis
on LJSpeech
(using extra training data)
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Several recent work on speech synthesis have employed generative adversarial networks (GANs) to produce raw waveforms.
Ranked #10 on
Speech Synthesis
on LibriTTS
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
We further propose a blur diffusion as a special case, where each frequency component of an image is diffused at different speeds.
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
With the emergence of neural audio codecs, which encode multiple streams of discrete tokens from audio, large language models have recently gained attention as a promising approach for zero-shot Text-to-Speech (TTS) synthesis.
