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首页> 外文期刊>International journal of computer science and network security >Separation of Mixed Plural Sound Sources in Instrumental Music Using Butterworth Parallel BPF
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Separation of Mixed Plural Sound Sources in Instrumental Music Using Butterworth Parallel BPF

机译:使用Butterworth并行BPF分离器乐中的混合多个声源

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摘要

Many researchers investigated sound source separation as one of themes of music information processing. Sound source separation is a work to separate each sound from a mix of several sound sources such as pianos and violins etc. It is one of very important techniques in automatic music transcription. And also it is assumed as one of early stages in music recognition of human auditory perception and it will take a major role in computer simulations of human perception process. We propose a new method of sound source separation using Butterworth parallel band pass filter(BPF). We show that the proposed method is superior to a recent work. As a result of experiment the proposed method improves fidelity of output comparing an original single instrument sound in input.
机译:许多研究人员将声源分离作为音乐信息处理的主题之一进行了研究。声源分离是一种将多种声音源(例如钢琴和小提琴等)的混合声分离出来的工作。这是自动音乐转录中非常重要的技术之一。而且它被认为是人类听觉感知音乐识别的早期阶段之一,它将在人类感知过程的计算机模拟中扮演重要角色。我们提出了一种使用巴特沃斯并行带通滤波器(BPF)进行声源分离的新方法。我们表明,所提出的方法优于最近的工作。实验的结果是,与输入中原始的单个乐器声音相比,该方法提高了输出保真度。

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