Add to ORKGLots of work has been done on speech and speaker recognition. Many technologies were developed for the analysis of speech waveforms. Musical instrument recognition is an important aspect of music information retrieval system. In this paper we analyzed features for musical instruments recognition and a brief study on music similarity. Music similarity search is done by using mel-frequency cepstral coefficients (MFCC), linear predictive coefficients (LPC) and the classifier used is K- Nearest Neighbor with Dynamic Time Warping
The changing music landscape demands new ways of searching, organizing and recommending music to con...
The automatic identification of musical instrument timbres occurring in a recording of music has man...
Abstract—Over the past few years, digitized music in forms like MP3 has made a great impact on the w...
Lots of work has been done on speech and speaker recognition. Many technologies were developed for t...
We address the problem of estimating automatically from audio signals the similarity between two pie...
Given an audio query, such as polyphonic musical piece, this thesis address the problem of retrievin...
Speech and audio processing techniques are used along with statistical pattern recognition principle...
Identification of the musical instrument from a music piece is becoming area of interest for researc...
Personal multimedia databases contain thousands of items and other databases on the Internet may con...
Music is the art of combining frequencies. A balance of frequencies gives rise to a harmonious tone....
For music identification, conventional bag of audio words model methods generally compute a histogra...
Music is a complex form of communication in which both artists and cultures express their ideas and ...
In this paper, we propose a novel approach for music similarity estimation. It combines temporal seg...
Several features were compared with regard to recognition performance in a musical instrument recogn...
Music classification is essential for faster Music record recovery. Separating the ideal arrangement...
The changing music landscape demands new ways of searching, organizing and recommending music to con...
The automatic identification of musical instrument timbres occurring in a recording of music has man...
Abstract—Over the past few years, digitized music in forms like MP3 has made a great impact on the w...
Lots of work has been done on speech and speaker recognition. Many technologies were developed for t...
We address the problem of estimating automatically from audio signals the similarity between two pie...
Given an audio query, such as polyphonic musical piece, this thesis address the problem of retrievin...
Speech and audio processing techniques are used along with statistical pattern recognition principle...
Identification of the musical instrument from a music piece is becoming area of interest for researc...
Personal multimedia databases contain thousands of items and other databases on the Internet may con...
Music is the art of combining frequencies. A balance of frequencies gives rise to a harmonious tone....
For music identification, conventional bag of audio words model methods generally compute a histogra...
Music is a complex form of communication in which both artists and cultures express their ideas and ...
In this paper, we propose a novel approach for music similarity estimation. It combines temporal seg...
Several features were compared with regard to recognition performance in a musical instrument recogn...
Music classification is essential for faster Music record recovery. Separating the ideal arrangement...
The changing music landscape demands new ways of searching, organizing and recommending music to con...
The automatic identification of musical instrument timbres occurring in a recording of music has man...
Abstract—Over the past few years, digitized music in forms like MP3 has made a great impact on the w...