This paper presents a review of multi-objective deep learning methods that have been
introduced in the literature for speech denoising. After stating an overview of conventional …

A complete overview of distant automatic speech recognition The performance of
conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon …

Reducing interfering noise in a noisy speech recording has been a difficult task in many
applications related to the voice. From hands-free communication to human–machine …

Lyrics are the words that make up a song, while chords are harmonic sets of multiple notes
in music. Lyrics and chords are generally essential information in music, ie unaccompanied …

In recent years, speech recognition technology has become a more common notion. Speech
quality and intelligibility are critical for the convenience and accuracy of information …

Factor analysis is over a century old, but it is still problematic to choose the number of factors
for a given data set. We provide a systematic review of current methods and then introduce a …

All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely
on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in …

This paper addresses the development of an algorithm that can improve the signal-to-noise
ratio (SNR) in inchoate faulty signals. The removal of noise and preservation of fault …

Psychoacoustic experiments have shown that directional properties of the direct sound,
salient reflections, and the late reverberation of an acoustic room response can have a …

Given the extraordinary ability of humans and animals to recognize communication signals
over a background of noise, describing noise invariant neural responses is critical not only …