In this age of technological advancements, it has become considerably easier for an individual to access a variety music from significant number sources. Today, there are multitude songs varying diversity available users. Therefore, becomes difficult users manually discover new that may suit their liking. Thus arises the need system will help streaming applications recommend befit taste, based ...

A fundamental problem in music is to classify songs according to their rhythm. A rhythm is represented by a sequence of “Quick” (Q) and “Slow” (S) symbols, which correspond to the (relative) duration of notes, such that S = QQ. In this paper we present a linear algorithm for locating the maximum-length substring of a music text t that can be covered by a given rhythm r. An efficient algorithm t...

In this work we propose a method to identify the raga of a Carnatic music signal. Raga is analogous to melody in Western music but is much richer and stronger in its representation. The main motive behind Raga identification is that it can be used as a good basis for music information retrieval of Carnatic music songs or Film songs based on Carnatic music. The input polyphonic music signal is a...

We present an efficient algorithm for segmentation of audio signals into speech or music. The central motivation to our study is consumer audio applications, where various real-time enhancements are often applied. The algorithm consists of a learning phase and a classification phase. In the learning phase, predefined training data is used for computing various time-domain and frequency-domain f...

Without any relative moves or beam scanning, the novel Orbital-Angular-Momentum(OAM)-based radar targets detection technique using uniform concentric circular array (UCCA) shows the azimuthal estimation ability, providing new perspective for radar system design. However, the main estimation method Fast Fourier Transform (FFT) under this scheme suffers from low resolution. As a solution, this pa...

Objective: High frequency oscillations (HFOs) evoked by posterior tibial nerve stimulation were recorded using magnetoencephalography (MEG). Time±frequency domain multiple signal classi®cation (TF-MUSIC) algorithm was applied, and the usefulness of this method was demonstrated. Methods: Ten normal subjects were studied. To localize sources for the HFOs of those somatosensory evoked ®elds, we ap...

This paper describes the Stravinsqi-Jun2015 algorithm, and evaluates its performance on the MediaEval 2015 C@merata task. Stravinsqi stands for STaff Representation Analysed VIa Natural language String Query Input. The algorithm parses a query string that consists of a natural language expression concerning a symbolically represented piece of music (which the algorithm parses also), and then id...

In this paper, a machine learning approach is combined with an optimization algorithm to generate structured music for the bagana, an Ethiopian lyre. A low order Markov model that captures the style characteristics was built from a corpus of bagana music. Different ways are then explored in which a Markov model can be used to construct quality metrics that represent how well a fragment fits the...

Wireless communication systems utilize smart antennas. Smart antenna have digital signal processing unit. Smart antennas have ability to locate and track signals. Smart antenna performance depends on efficiency of digital signal processing algorithms. The Angle of Arrival (AOA) estimation algorithms is used for estimate the number of incidents signals on the antenna array and their angle of inc...

This paper presents a new hardware interface using a microcontroller which processes audio music signals to standard MIDI data. A technique for processing music signals by extracting note parameters from music signals is described. An algorithm to convert the voice samples for real-time processing without complex calculations is proposed. A high frequency microcontroller as the main processor i...