Amyotrophic lateral sclerosis (ALS) is incurable neurological disorder with rapidly
progressive course. Common early symptoms of ALS are difficulty in swallowing and …

This article aims to improve neural TTS with vector-quantized, compact speech
representations. We propose a Vector-Quantized Variational AutoEncoder (VQ-VAE) based …

The paper proposes an integrated speech emotion conversion framework developed using
speaker-independent mixed-lingual training. The key contribution of the work is non-parallel …

On average the lack of biological markers causes a one year diagnostic delay to detect
amyotrophic lateral sclerosis (ALS). To improve the diagnostic process an automatic voice …

Fake audio detection (FAD) aims to identify fraudulent speech generated through advanced
speech-synthesis techniques. Most current FAD methods rely solely on a deep neural …

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion
conversion, tested on three different datasets (languages), namely, EmoDB (German) …

Spoken language is becoming one of the key components of human–machine interaction,
both to send information to the machine–eg voice control–and to receive from it–eg virtual …

In the realm of speaker identification, pitch frequency serves as a fundamental feature.
However, this feature can be compromised when a speaker records his speech in a closed …

In this paper, a novel pitch detection algorithm (PDA) is proposed. Actually, pitch detection is
a classical problem that has been investigated since the very beginning of speech …

This paper presents an approach to parametric voice conversion that can be used in real-
time entertainment applications. The approach is based on spectral mapping using an …