32 citations · 35 across the 4 of their papers we have counts for
5 papers · 1 filter
Enhancing audio quality for expressive Neural Text-to-Speech
Abdelhamid Ezzerg, Adam Gabrys, Bartosz Putrycz +7
Artificial speech synthesis has made a great leap in terms of naturalness as recent Text-to-Speech (TTS) systems are capable of producing speech with similar quality to human recor…
Universal Neural Vocoding with Parallel WaveNet
Yunlong Jiao, Adam Gabrys, Georgi Tinchev +3
We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder. Our universal vocoder offers real-time high-quality s…
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Sri Karlapati, Alexis Moinet, Arnaud Joly +3
Prosody Transfer (PT) is a technique that aims to use the prosody from a source audio as a reference while synthesising speech. Fine-grained PT aims at capturing prosodic aspects l…
Fine-grained robust prosody transfer for single-speaker neural text-to-speech
Viacheslav Klimkov, Srikanth Ronanki, Jonas Rohnke +1
We present a neural text-to-speech system for fine-grained prosody transfer from one speaker to another. Conventional approaches for end-to-end prosody transfer typically use eithe…
Comprehensive evaluation of statistical speech waveform synthesis
Thomas Merritt, Bartosz Putrycz, Adam Nadolski +10
Statistical TTS systems that directly predict the speech waveform have recently reported improvements in synthesis quality. This investigation evaluates Amazon's statistical speech…