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Separation of Singing Voice From Music Accompaniment for Monaural Recordings

机译:单声道录音中歌声与音乐伴奏的分离

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Separating singing voice from music accompaniment is very useful in many applications, such as lyrics recognition and alignment, singer identification, and music information retrieval. Although speech separation has been extensively studied for decades, singing voice separation has been little investigated. We propose a system to separate singing voice from music accompaniment for monaural recordings. Our system consists of three stages. The singing voice detection stage partitions and classifies an input into vocal and nonvocal portions. For vocal portions, the predominant pitch detection stage detects the pitch of the singing voice and then the separation stage uses the detected pitch to group the time-frequency segments of the singing voice. Quantitative results show that the system performs the separation task successfully
机译:在许多应用程序中,将歌声与音乐伴奏分开非常有用,例如歌词识别和对齐,歌手识别以及音乐信息检索。尽管语音分离已被广泛研究了数十年,但对歌声分离的研究却很少。我们提出了一种将单声道录音的歌声与音乐伴奏分开的系统。我们的系统包括三个阶段。歌声检测阶段将输入划分为语音和非语音部分并将其分类。对于人声部分,主要的音调检测级检测歌声的音调,然后分离级使用检测到的音调对歌声的时频片段进行分组。定量结果表明系统成功完成了分离任务

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