An SVM-based classification approach to musical audio
نویسندگان
چکیده
This paper describes an automatic hierarchical music classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental or vocal mixed with instrumental music. These main classes are further sub-classed according to gender and instrument type. A novel method, Correction Algorithm for Music Sequence (CAMS) has been developed to improve the classification efficiency.
منابع مشابه
Memory Based Automatic Music Transcription System for Percussive Pitched Instruments
The target of our work dealt with the problem of extracting musical content or a symbolic representation of musical notes, commonly called musical score, from audio data of polyphonic music of percussive pitched instruments. We focuses on note events and their main characteristics: the onset (note attack instant) and the pitch (note name). Signal processing techniques based on the Constant-Q Tr...
متن کاملShort-Term Memory and Event Memory Classification Systems for Automatic Polyphonic Music Transcription
Music transcription consists in transforming the musical content of audio data into a symbolic representation. The objective of this study is to investigate a transcription system for polyphonic piano. The input to this system consists in piano music recordings stored in WAV files, while the pitch of all the notes in the corresponding score forms the output. The proposed method focuses on tempo...
متن کاملMusic Genre Classification Using Sparsity-Eager Support Vector Machines
Constructing robust categorical and typological classifiers, i.e., finding auditory constructs utilized for describing music categories, is an important problem in music genre classification. Supervised methods such as support vector machine (SVM) achieve state of the art performance for genre classification but suffer from over-fitting on training examples. In this paper, we introduce a superv...
متن کاملAPPLICATION OF THE HYBRID HARMONY SEARCH WITH SUPPORT VECTOR MACHINE FOR IDENTIFICATION AND CALSSIFICATION OF DAMAGED ZONE AROUND UNDERGROUND SPACES
An excavation damage zone (EDZ) can be defined as a rock zone where the rock properties and conditions have been changed due to the processes related to an excavation. This zone affects the behavior of rock mass surrounding the construction that reduces the stability and safety factor and increase probability of failure of the structure. This paper presents an approach to build a model for the ...
متن کاملA hybridization of evolutionary fuzzy systems and ant Colony optimization for intrusion detection
A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003