Blind source separation on iPhone in real environment

Nobutaka Ono
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引用次数: 9

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.
真实环境下iPhone上的盲源分离
提出了一种适用于iPhone的立体声盲源分离系统。在iPhone上安装一个市售的立体声麦克风,输入的声音可以通过它录制下来,也可以通过个人电脑通过iTunes传输。然后通过基于辅助功能的独立矢量分析(Aux-IVA2)[1]的立体声专用版本将声音分成两个声源,计算时间为输入信号长度的1/5。给出了语音分离的定量评价和其他实际环境下的源分离实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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