[BOOK][B] Fundamentals of music processing: Audio, analysis, algorithms, applications
M Müller - 2015 - Springer
This textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval. Including …
treatment of essential topics in music processing and music information retrieval. Including …
[BOOK][B] Audio source separation and speech enhancement
Learn the technology behind hearing aids, Siri, and Echo Audio source separation and
speech enhancement aim to extract one or more source signals of interest from an audio …
speech enhancement aim to extract one or more source signals of interest from an audio …
Single-channel audio source separation with NMF: divergences, constraints and algorithms
Spectral decomposition by nonnegative matrix factorisation (NMF) has become state-of-the-
art practice in many audio signal processing tasks, such as source separation, enhancement …
art practice in many audio signal processing tasks, such as source separation, enhancement …
[BOOK][B] Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching
C Raffel - 2016 - search.proquest.com
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 …
database of sequences, a fundamental task is to find the database entry which is the most …
Multichannel audio source separation with deep neural networks
This article addresses the problem of multichannel audio source separation. We propose a
framework where deep neural networks (DNNs) are used to model the source spectra and …
framework where deep neural networks (DNNs) are used to model the source spectra and …
Musical source separation: An introduction
Many people listen to recorded music as part of their everyday lives, eg, from radio or TV
programs, compact discs, downloads, or, increasingly, online streaming services …
programs, compact discs, downloads, or, increasingly, online streaming services …
Deep learning for audio-based music classification and tagging: Teaching computers to distinguish rock from bach
Over the last decade, music-streaming services have grown dramatically. Pandora, one
company in the field, has pioneered and popularized streaming music by successfully …
company in the field, has pioneered and popularized streaming music by successfully …
Deep learning and music adversaries
An adversary is an agent designed to make a classification system perform in some
particular way, eg, increase the probability of a false negative. Recent work builds …
particular way, eg, increase the probability of a false negative. Recent work builds …
Vocal activity informed singing voice separation with the iKala dataset
A new algorithm is proposed for robust principal component analysis with predefined
sparsity patterns. The algorithm is then applied to separate the singing voice from the …
sparsity patterns. The algorithm is then applied to separate the singing voice from the …
Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals
Transient signal analysis (TSA) has been proven an effective tool for motor bearing fault
diagnosis, but has yet to be applied in processing bearing fault signals with variable rotating …
diagnosis, but has yet to be applied in processing bearing fault signals with variable rotating …