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Apparatus and method for separating music and voice using independent component analysis algorithm for two-dimensional forward network

机译:使用独立分量分析算法的二维前向网络分离音乐和声音的装置和方法

摘要

Provided is an apparatus and method for separating music and voice using an independent component analysis method for a two-dimensional forward network. The apparatus of separating music and voice can separate voice signal and a music signal, each of which are independently recorded, from a mixed signal, in a short convergence time by using the independent component analysis method, which estimates a signal mixing process according to a difference in record positions of sensors. Thus, users can easily select accompaniment from their own compact discs(CDs), digital video discs(DVDs), or audio cassette tapes, or FM radio, and listen to music of improved quality in real time. Accordingly, the users can just enjoy the music or sing along. Furthermore, since the independent component analysis method in the apparatus of separating music and voice is simple and time taken to perform the method is not long, the method can be easily used in a digital signal processor (DSP) chip, a microprocessor, or the like.
机译:提供了一种用于二维前向网络的使用独立分量分析方法来分离音乐和语音的设备和方法。通过使用独立分量分析方法,音乐和语音分离装置可以在很短的收敛时间内从混合信号中分离出分别记录的语音信号和音乐信号,该语音信号和音乐信号根据传感器记录位置的差异。因此,用户可以轻松地从自己的光盘(CD),数字视频光盘(DVD)或盒式磁带或FM收音机中选择伴奏,并实时收听质量提高的音乐。因此,用户可以仅欣赏音乐或一起唱歌。此外,由于分离音乐和声音的设备中的独立成分分析方法简单并且执行该方法所花费的时间不长,因此该方法可以容易地用在数字信号处理器(DSP)芯片,微处理器或处理器中。喜欢。

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