A crucial dimension of Content-based music management systems is their ability to compute automatically similarities between music titles. We propose a technique that allows users to find music titles that sound similar to songs they like. The technique relies on a modelling of the timbral characteristics of a music signal by distributions of Cepstrum coefficients. The resulting models are then...

Finding multiple occurrences of themes and patterns in music can be hampered due to polyphonic textures. This is caused by the complexity of music that weaves multiple independent lines of music together. We present and demonstrate a system, VoiSe, that is capable of isolating individual voices in both explicit and implicit polyphonic music. VoiSe is designed to work on a symbolic representatio...

In this paper we propose an automatic system for transcribing makam music of Turkey. We document the specific traits of this music that deviate from properties that were targeted by transcription tools so far and we compile a dataset of makam recordings along with aligned microtonal ground-truth. An existing multi-pitch detection algorithm is adapted for transcribing music in 20 cent resolution...

In this paper, we present a method for the automatic transcription of polyphonic piano music. The input to this method consists in piano music recordings stored in WAV files, while the pitch of all the notes in the corresponding score forms the output. This method operates on a frame-by-frame basis and exploits a suitable time-frequency representation of the audio signal. The solution proposed ...

Music players for personal computers are often featured with music visualization by generating animated patterns according to the music’s low-level features such as loudness and spectrum. This paper proposes an emotion-based music player which synchronizes visualization (photos) with music based on the emotions evoked by auditory stimulus of music and visual content of visualization. For emotio...

In this paper, we propose four peer-to-peer models for contentbased music information retrieval (CBMIR) and carefully evaluate them on network load, retrieval time, system update and robustness qualitatively and quantitatively. And we bring forward an algorithm to improve the speed of CBP2PMIR and a simple but effective method to filter out the replica in the final results. And we present the a...

In this paper, a Multiple SIgnal Classification (MUSIC) -based approach, Time-Space-Time MUSIC (TST-MUSIC), i s proposed to jointly estimate the directions of arrival (DOAs) and the propagation delays of a wireless multipath channel. The MUSIC algorithms for the DOA and propagation delay estimation are referred to as the S-MUSIC and T-MUSIC algorithms, respectively. By using the space-time char...

Due to the rapidly increasing availability of digital music, advanced semantic music search and music recommendation are becoming important issues. Thus how to index music for semantic search and how to make recommendations in intrinsic of musical art are challenging problems currently. In this context, this paper used a semantic indexing method that is capable of flexibly retrieval music in se...

response surface methodology is a common tool in optimizing processes. it mainly concerns situations when there is only one response of interest. however, many designed experiments often involve simultaneous optimization of several quality characteristics. this is called a multiresponse surface optimization problem. a common approach in dealing with these problems is to apply desirability funct...

Music expresses emotion. However, analyzing the emotion in music by computer is a difficult task. Some work can be found in the literature, but the results are not satisfactory. In this paper, an emotion detection and classification system for pop music is presented. The system extracts feature values from the training music files by PsySound2 and generates a music model from the resulting feat...