Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

Voice conversion techniques typically require source-target parallel speech data for model
training. Such parallel data may not be available always in practice. This paper presents a …

The voice conversion's task is to modify a source speaker's voice to sound like that of a
target speaker. A conversion method is considered successful when the produced speech …

Voice conversion has made great progress in the past few years under the studio-quality test
scenario in terms of speech quality and speaker similarity. However, in real applications, test …

We propose a novel training scheme to optimize voice conversion network with a speaker
identity loss function. The training scheme not only minimizes frame-level spectral loss, but …

In a typical voice conversion system, vocoder is commonly used for speech-to-features
analysis and features-to-speech synthesis. However, vocoder can be a source of speech …

Voice conversion methods have advanced rapidly over the last decade. Studies have shown
that speaker characteristics are captured by spectral feature as well as various prosodic …

Featured Application In this paper, we proposed a method of noise-robust voice conversion
using high-quefrency boosting via sub-band cepstrum conversion and fusion. This method …

Speech-to-Singing (STS) conversion aims at converting one's reading speech into his/her
singing vocal. The prior work was mainly focused on transforming the prosody of speech to …

We present an any-to-one voice conversion (VC) system, using an autoregressive model
and LPCNet vocoder, aimed at enhancing the converted speech in terms of naturalness …