Damage or degeneration of motor pathways necessary for speech and other movements, as
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …

This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit named ESPnet-
TTS, which is an extension of the open-source speech processing toolkit ESPnet. The toolkit …

This textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval. Including …

This paper describes Asteroid, the PyTorch-based audio source separation toolkit for
researchers. Inspired by the most successful neural source separation systems, it provides …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

We propose the multi-head convolutional neural network (MCNN) for waveform synthesis
from spectrograms. Nonlinear interpolation in MCNN is employed with transposed …

Fake audio detection is a growing concern and some relevant datasets have been designed
for research. However, there is no standard public Chinese dataset under complex …

Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

In this article, we study the ability of deep neural networks (DNNs) to restore missing audio
content based on its context, ie, inpaint audio gaps. We focus on a condition which has not …

Prior researchers show that existing automatic speech recognition (ASR) systems are
vulnerable to adversarial examples. Most existing adversarial attacks against ASR systems …