Over the years, wavelet-based analyses have been responsible for remarkable
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …

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Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …

We present an end-to-end deep learning approach to denoising speech signals by
processing the raw waveform directly. Given input audio containing speech corrupted by an …

" The DFT can be understood as a numerical approximation to the Fourier transform.
However, the DFT has its own exact Fourier theory, and that is the focus of this book. The …

The acoustics of a recording space can have a real impact on the sounds you create and
capture. The book gives an essential grounding and understanding to how real music …

Digital Audio Signal Processing The fully revised new edition of the popular textbook,
featuring additional MATLAB exercises and new algorithms for processing digital audio …

Recent advancements in neural vocoding are predominantly driven by Generative
Adversarial Networks (GANs) operating in the time-domain. While effective, this approach …

Psychoacoustic models of human auditory perception have found an important application
in the realm of perceptual audio coding, where exploiting the limitations of perception and …

A commonsense, self-contained introduction to the mathematics and physics of music;
essential reading for musicians, music engineers, and anyone interested in the intersection …