Title :
Blind source separation on iPhone in real environment
Author_Institution :
Nat. Inst. of Inf., Tokyo, Japan
Abstract :
A stereo blind source separation system for the iPhone is presented. A commercially available stereo microphone is installed on an iPhone and an input sound can be recorded by it or be transferred by PC through iTunes. The sound is then separated into two sources by a stereo-specific version of auxiliary-function-based independent vector analysis (Aux-IVA2) [1] in 1/5 the computational time of the input signal length. The quantitative evaluation for speech separation and other examples for source separation in real environments are presented.
Keywords :
blind source separation; independent component analysis; smart phones; auxiliary function based independent vector analysis; iPhone; quantitative evaluation; speech separation; stereo blind source separation system; stereo microphone; Blind source separation; Frequency-domain analysis; Microphones; Mobile handsets; Speech; Vectors; Blind source separation; auxiliary function; independent vector analysis; mobile phone;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech
