Speech separation is the task of separating target speech from background interference.
Traditionally, speech separation is studied as a signal processing problem. A more recent …

Flexible piezoelectric acoustic sensors have been developed to generate multiple sound
signals with high sensitivity, shifting the paradigm of future voice technologies. Speech …

We propose a model to estimate the fundamental frequency in monophonic audio, often
referred to as pitch estimation. We acknowledge the fact that obtaining ground truth …

Through a series of studies, the overarching aim of this book is to investigate if and how the
digitalization/digital transformation process causes (or may cause) the autonomy of various …

This paper provides an analysis of state-of-the-art activation functions with respect to
supervised classification of deep neural network. These activation functions comprise of …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

We review the coevolution of hardware and software dedicated to neuromorphic systems.
From modest beginnings, these disciplines have become central to the larger field of …

Different marine vessels belonging to the same class may have different and time-varying
radiated noise due to different and changing machinery configurations. Further, the time …

The synchronization between the speech envelope and neural activity in auditory regions,
referred to as cortical tracking of speech (CTS), plays a key role in speech processing. The …

Auditory models are commonly used as feature extractors for automatic speech-recognition
systems or as front-ends for robotics, machine-hearing and hearing-aid applications …