Speaking style conversion (SSC) is the technology of converting natural speech signals from
one style to another. In this study, we propose the use of cycle-consistent adversarial …

We propose a neural network for zero-shot voice conversion (VC) without any parallel or
transcribed data. Our approach uses pre-trained models for automatic speech recognition …

The growing use of voice user interfaces has led to a surge in the collection and storage of
speech data. While data collection allows for the development of efficient tools powering …

Emotional Voice Conversion, or emotional VC, is a technique of converting speech from one
emotion state into another one, keeping the basic linguistic information and speaker identity …

Although narrowband (NB) and wideband (WB) speech data primarily differ in sampling rate,
these two common input sources are difficult to simultaneously model for automatic speech …

Machine learning models are widely used in science and engineering to predict the
properties of materials and solve complex problems. However, training large models can …

Dysarthria is a manifestation of the disordering in articulatory parts that are used during
speech production, which results in uneven, slow, slurred, monotone speech or speech in …

In this paper, we describe our speech generation system for the first Audio Deep Synthesis
Detection Challenge (ADD 2022). Firstly, we build an any-to-many voice conversion (VC) …

Novel MMSE DiscoGAN for Cross-Domain Whisper-to-Speech Conversion Page 1 Novel
MMSE DiscoGAN for Cross-Domain Whisper-to-Speech Conversion Nirmesh J. Shah, Mihir …

Voice conversion can benefit from WaveNet vocoder with improvement in converted
speech's naturalness and quality. However, nowadays approaches segregate the training of …