Title :
A Speech-Music Discriminator Using HILN Model Based Features
Author :
Thoshkahna, Balaji ; Sudha, V. ; Ramakrishnan, K.R.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Sci.
Abstract :
We propose a simple speech music discriminator that uses features based on HILN (harmonics, individual lines and noise) model. We have been able to test the strength of the feature set on a standard database of 66 files and get an accuracy of around 97%. We also have tested on sung queries and polyphonic music and have got very good results. The current algorithm is being used to discriminate between sung queries and played (using an instrument like flute) queries for a query by humming (QBH) system currently under development in the lab
Keywords :
harmonic analysis; information retrieval; music; noise; speech processing; harmonics individual lines and noise model; polyphonic music; query by humming system; speech-music discriminator; sung queries; Feature extraction; Frequency domain analysis; Instruments; Learning systems; Mathematical model; Multimedia databases; Multimedia systems; Spatial databases; Speech; Testing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661303
