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首页> 外文期刊>Annals of the New York Academy of Sciences >Melodic Contour Identification and Music Perception by Cochlear Implant Users
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Melodic Contour Identification and Music Perception by Cochlear Implant Users

机译:人工耳蜗使用者的旋律轮廓识别和音乐感知

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Research and outcomes with cochlear implants (CIs) have revealed a dichotomy in the cues necessary for speech and music recognition. CI devices typically transmit 16-22 spectral channels, each modulated slowly in time. This coarse representation provides enough information to support speech understanding in quiet and rhythmic perception in music, but not enough to support speech understanding in noise or melody recognition. Melody recognition requires some capacity for complex pitch perception, which in turn depends strongly on access to spectral fine structure cues. Thus, temporal envelope cues are adequate for speech perception under optimal listening conditions, while spectral fine structure cues are needed for music perception. In this paper, we present recent experiments that directly measure CI users' melodic pitch perception using a melodic contour identification (MCI) task. While normal-hearing (NH) listeners' performance was consistently high across experiments, MCI performance was highly variable across CI users. CI users' MCI performance was significantly affected by instrument timbre, as well as by the presence of a competing instrument. In general, CI users had great difficulty extracting melodic pitch from complex stimuli. However, musically experienced CI users often performed as well as NH listeners, and MCI training in less-experienced subjects greatly improved performance. With fixed constraints on spectral resolution, such as occurs with hearing loss or an auditory prosthesis, training and experience can provide considerable improvements in music perception and appreciation.
机译:人工耳蜗(CI)的研究和成果表明,语音和音乐识别所必需的线索存在二分法。 CI设备通常会发送16-22个频谱通道,每个通道的时间调制都很慢。这种粗略的表示方式提供了足够的信息来支持对音乐的安静和有节奏感的语音理解,但不足以支持对噪音或旋律的语音理解。旋律识别需要一定的能力来进行复杂的音调感知,而这又很大程度上取决于对频谱精细结构线索的获取。因此,时间包络线索足以在最佳收听条件下进行语音感知,而音乐音乐则需要频谱精细的结构线索。在本文中,我们提出了使用旋律轮廓识别(MCI)任务直接测量CI用户旋律音高感知的最新实验。尽管实验中的正常听力(NH)听众的表现一直很高,但CI用户的MCI表现却变化很大。 CI用户的MCI性能受乐器音色以及存在竞争乐器的影响很大。通常,CI用户很难从复杂刺激中提取旋律音高。但是,具有音乐经验的CI用户通常会比NH听者表现更好,而MCI训练在经验不足的主题中也大大提高了性能。在频谱分辨率受到固定限制的情况下(例如由于听力损失或听觉假体而发生的情况),培训和经验可以大大改善音乐的感知和欣赏能力。

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