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

In this paper, we first provide a review of the state-of-the-art emotional voice conversion
research, and the existing emotional speech databases. We then motivate the development …

Emotional voice conversion aims to transform emotional prosody in speech while preserving
the linguistic content and speaker identity. Prior studies show that it is possible to …

We propose a novel training strategy for Tacotron-based text-to-speech (TTS) system that
improves the speech styling at utterance level. One of the key challenges in prosody …

Emotional voice conversion aims to convert the spectrum and prosody to change the
emotional patterns of speech, while preserving the speaker identity and linguistic content …

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 …

Emotional voice conversion aims to convert the emotion of speech from one state to another
while preserving the linguistic content and speaker identity. The prior studies on emotional …

Most of the existing feature representations for spoofing countermeasures consider
information either from the magnitude or phase spectrum. We hypothesize that both …

While neural end-to-end text-to-speech (TTS) is superior to conventional statistical methods
in many ways, the exposure bias problem in the autoregressive models remains an issue to …

Emotional voice conversion (EVC) aims to change the emotional state of an utterance while
preserving the linguistic content and speaker identity. In this paper, we propose a novel 2 …