Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while keeping the linguistic …

Security of automatic speaker verification (ASV) systems is compromised by various
spoofing attacks. While many types of non-proactive attacks (and their defenses) have been …

The voice conversion challenge is a bi-annual scientific event held to compare and
understand different voice conversion (VC) systems built on a common dataset. In 2020, we …

We present a novel voice conversion (VC) framework by learning from a text-to-speech
(TTS) synthesis system, that is called TTS-VC transfer learning or TTL-VC for short. We first …

This paper presents a cross-lingual voice conversion approach using bilingual Phonetic
PosteriorGram (PPG) and average modeling. The proposed approach makes use of …

We introduce a novel speech synthesis system, called NAUTILUS, that can generate speech
with a target voice either from a text input or a reference utterance of an arbitrary source …

In this work, we propose a zero-shot voice conversion method using speech representations
trained with self-supervised learning. First, we develop a multi-task model to decompose a …

Cross-lingual personalized speech generation seeks to synthesize a target speaker's voice
from only a few training samples that are in a different language. One popular technique is to …

We present an approach to synthesize whisper by applying a handcrafted signal processing
recipe and Voice Conversion (VC) techniques to convert normally phonated speech to …

Emotional Voice Conversion (EVC) aims to convert the emotional style of a source speech
signal to a target style while preserving its content and speaker identity information. Previous …