Title :
A Study on Source Separation Using Orthogonality between Independent Speeches in Spectrogram
Author :
Jang, Hyukjoon ; Jeong, Hong
Author_Institution :
Dept. of Info. Technol., POSTECH, Pohang, South Korea
Abstract :
We propose a kind of source separating method in audio signal. It uses an orthogonal property in spectral domain, which is an extended concept of temporal orthogonality used in Degenerate Unmixing Estimation Technique (DUET) to individual frequency bands. In addition, we also adopt a gradient-based learning rule using negentropy for perfect separation. In this paper, we will describe our proposed algorithm and show experimental results.
Keywords :
audio signal processing; gradient methods; independent component analysis; learning (artificial intelligence); source separation; speech processing; audio signal; degenerate unmixing estimation technique; gradient based learning rule; independent speeches; negentropy; orthogonal property; source separation method; spectrogram; temporal orthogonality; Data mining; Frequency estimation; Histograms; Image converters; Independent component analysis; Source separation; Spectrogram; Speech; Time domain analysis; Time frequency analysis; DUET; FD-ICA; NBF; Orthogonality;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4244-5397-9
Electronic_ISBN :
978-1-4244-5398-6
DOI :
10.1109/WKDD.2010.22
