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Remixing music using source separation algorithms to improve the musical experience of cochlear implant users

机译:使用音源分离算法重新混音,以改善人工耳蜗使用者的音乐体验

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摘要

Music perception remains rather poor for many Cochlear Implant (CI) users due to the users' deficient pitch perception. However, comprehensible vocals and simple music structures are well perceived by many CI users. In previous studies researchers re-mixed songs to make music more enjoyable for them, favoring the preferred music elements (vocals or beat) attenuating the others. However, mixing music requires the individually recorded tracks (multitracks) which are usually not accessible. To overcome this limitation, Source Separation (SS) techniques are proposed to estimate the multitracks. These estimated multitracks are further re-mixed to create more pleasant music for CI users. However, SS may introduce undesirable audible distortions and artifacts. Experiments conducted with CI users (N = 9) and normal hearing listeners (N = 9) show that CI users can have different mixing preferences than normal hearing listeners. Moreover, it is shown that CI users' mixing preferences are user dependent. It is also shown that SS methods can be successfully used to create preferred re-mixes although distortions and artifacts are present. Finally, CI users' preferences are used to propose a benchmark that defines the maximum acceptable levels of SS distortion and artifacts for two different mixes proposed by CI users. (C) 2016 Author(s).
机译:对于许多人工耳蜗(CI)用户,由于其音调感知不足,其音乐感知仍然很差。但是,许多CI用户很好地理解了可理解的人声和简单的音乐结构。在以前的研究中,研究人员重新混合了歌曲,使音乐更令人愉悦,他们偏爱喜欢的音乐元素(人声或节拍),使其他元素衰减。但是,混合音乐需要通常无法访问的单独录制的音轨(多音轨)。为了克服此限制,提出了信号源分离(SS)技术来估计多轨。这些估计的多音轨将进一步重新混合,以为CI用户创建更愉悦的音乐。但是,SS可能会引入不良的可听见的失真和伪影。对CI用户(N = 9)和正常听力的听众(N = 9)进行的实验表明,CI用户可能具有与普通听力不同的混合偏好。而且,表明CI用户的混合偏好是取决于用户的。还表明,尽管存在失真和伪像,但SS方法可以成功地用于创建首选的重新混合。最后,CI用户的偏好用于提出基准,该基准定义了CI用户提出的两种不同混合的SS失真和伪影的最大可接受水平。 (C)2016作者。

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