Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …

In this paper, we present a fast, simple and effective method to separate the harmonic and
percussive parts of a monaural audio signal. The technique involves the use of median …

Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

In this paper, we demonstrate how we applied convolutional neural network for DCASE
2017 task 1, acoustic scene classification. We propose a variety of preprocessing methods …

We explore frame-level audio feature learning for chord recognition using artificial neural
networks. We present the argument that chroma vectors potentially hold enough information …

Advanced deep-learning models have shown excellent performance in the task of fault-
bearing diagnosis over traditional machine learning and signal-processing techniques. Few …

In recent years, methods to decompose an audio signal into a harmonic and a percussive
component have received a lot of interest and are frequently applied as a processing step in …

Time-scale modification (TSM) is the task of speeding up or slowing down an audio signal's
playback speed without changing its pitch. In digital music production, TSM has become an …

In this paper, we propose a new method for singing voice detection based on a Bidirectional
Long Short-Term Memory (BLSTM) Recurrent Neural Network (RNN). This classifier is able …