research
∙
06/08/2023
VIFS: An End-to-End Variational Inference for Foley Sound Synthesis
The goal of DCASE 2023 Challenge Task 7 is to generate various sound cli...
share
research
∙
02/24/2023
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS
Previous pitch-controllable text-to-speech (TTS) models rely on directly...
research
∙
01/30/2023
Designing an offline reinforcement learning objective from scratch
Offline reinforcement learning has developed rapidly over the recent yea...
research
∙
11/08/2022
PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping
Previous generative adversarial network (GAN)-based neural vocoders are ...
research
∙
06/24/2022
SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech
In this paper, we present SANE-TTS, a stable and natural end-to-end mult...
research
∙
06/17/2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
We focus on the problem of adversarial attacks against models on discret...
research
∙
06/17/2022
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates
Conventionally, audio super-resolution models fixed the initial and the ...
research
∙
05/13/2022
Talking Face Generation with Multilingual TTS
In this work, we propose a joint system combining a talking face generat...
research
∙
10/25/2021
Controllable and Interpretable Singing Voice Decomposition via Assem-VC
We propose a singing decomposition system that encodes time-aligned ling...
research
∙
04/06/2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
In this work, we introduce NU-Wave, the first neural audio upsampling mo...
research
∙
04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
research
∙
10/03/2018