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 …

Emotional voice conversion aims at converting speech from one emotion state to another.
This paper proposes to model timbre and prosody features using a deep bidirectional long …

Prominences and boundaries are the essential constituents of prosodic structure in speech.
They provide for means to chunk the speech stream into linguistically relevant units by …

The statistical approach to voice conversion typically consists of a feature conversion
module followed by a vocoder. So far, the feature conversion studies are mainly focused on …

Emotional voice conversion (EVC) is a task that converts an utterance's emotional features
into a target one while retaining semantic information and speaker identity. Recently, some …

Voice Conversion (VC) aims to convert one's voice to sound like that of another. So far, most
of the voice conversion frameworks mainly focus only on the conversion of spectrum. We …

In emotional voice conversion (VC) tasks, it is difficult to deal with a simple representation of
fundamental frequency (F0), which is the most important feature in emotional voice …

Speaking and singing are mechanisms of vocal production that have distinct articulatory
properties and consequently produce sounds that are normally perceived as different …

This paper is to show a representation of fundamental frequency (F0) using continuous
wavelet transform (CWT) for prosody modeling in emotion conversion. Emotional conversion …