Generative adversarial networks have seen rapid development in recent years and have led
to remarkable improvements in generative modelling of images. However, their application …

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

This paper presents a review on techniques for signal reconstruction without phase, ie when
only the spectrogram (the squared magnitude of the Short Time Fourier Transform) of the …

In real-world environments, human speech is usually distorted by both reverberation and
background noise, which have negative effects on speech intelligibility and speech quality …

There has been a recent surge in adversarial attacks on deep learning based automatic
speech recognition (ASR) systems. These attacks pose new challenges to deep learning …

In this paper, we present a new algorithm to estimate a signal from its short-time Fourier
transform modulus (STFTM). This algorithm is computationally simple and is obtained by an …

In recent years, deep networks have led to dramatic improvements in speech enhancement
by framing it as a data-driven pattern recognition problem. In many modern enhancement …

A noniterative method for the reconstruction of the short-time fourier transform (STFT) phase
from the magnitude is presented. The method is based on the direct relationship between …

While recent neural sequence-to-sequence models have greatly improved the quality of
speech synthesis, there has not been a system capable of fast training, fast inference and …

Human speech in real-world environments is typically degraded by the background noise.
They have a negative impact on perceptual speech quality and intelligibility which causes …