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Using Forward Masking Patterns to Predict Imperceptible Information in Speech for Cochlear Implant Subjects.

机译:使用前向掩蔽模式来预测人工耳蜗植入对象的语音中无法感知的信息。

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摘要

Forward masking is a phenomenon that occurs when one stimulus (masker) elevates the threshold for perception of a subsequent stimulus (probe). In cochlear implant listeners, it has been hypothesized that interactions between electrodes (termed channel interactions) can have a deleterious effect on speech recognition (Chatterjee and Shannon, 1998; Throckmorton and Collins, 1999). Forward masking is one measure that has been used to assess channel interactions (Shannon, 1983; Tong and Clark, 1986; Lim et al., 1986; Shannon, 1990; Blamey and Dooley, 1993; Chatterjee and Shannon, 1998), and it has also been proposed as a mechanism that could be used to assess information that is being presented to but is not received by the user (Throckmorton and Collins, 1999; Nogueira et al., 2005). Determining information that is not received by the user, or is masked, has the potential to provide guidance for the design of new speech processing algorithms that either work to reduce lost information or substitute alternate information.;Nogueira et al., (2005) investigated the potential for using forward masking to estimate masked information and found a limited benefit with information substitution; however, their findings were based on normal hearing psychoacoustic forward masking patterns (Nogueira et al., 2005). Given that psychophysically measured forward masking patterns vary from subject to subject and electrode to electrode (e.g. Shannon, 1983; Shannon, 1990; Chatterjee and Shannon, 1998), measuring subject- and electrode-specific patterns has the potential to provide a more accurate assessment of masked information. In addition, the experimental time required to gather the full set of psychophysical forward masking patterns for all electrodes is far too long for clinical relevance (Throckmorton and Collins, 1999). Recently, it has been suggested that forward masking patterns can be measured physiologically via the electrically evoked compound action potential (ECAP) (e.g. Hughes and Stille, 2009) which may make it possible to measure the information necessary for a subject-specific assessment of masked information in a clinically relevant time frame.;This study utilized ECAP measurements to estimate the forward masking patterns in subjects, and these masking patterns were used to estimate the masked stimuli in speech. The estimates were validated using a speech reception threshold task to assess whether speech recognition is affected by removing "masked" pulses from a subject's stimulation pattern. The results of this study suggest that forward masking patterns measured via ECAPs could potentially determine information that is not being perceived by the user.;The masked stimuli were also used to statistically evaluate the segments of speech that are most vulnerable to masking. These results suggest that the amount of masking that occurs per phoneme depends on the characteristics of the subject-specific masking patterns.
机译:前向掩蔽是一种刺激(掩蔽物)提高了感知后续刺激(探针)的阈值时发生的现象。在人工耳蜗的听众中,已经假设电极之间的相互作用(称为通道相互作用)会对语音识别产生有害影响(Chatterjee和Shannon,1998; Throckmorton和Collins,1999)。前向掩蔽是一种用于评估通道交互作用的方法(Shannon,1983; Tong和Clark,1986; Lim等,1986; Shannon,1990; Blamey和Dooley,1993; Chatterjee和Shannon,1998),并且它是还提出了一种可以用来评估呈现给用户但未被用户接收的信息的机制(Throckmorton和Collins,1999; Nogueira等,2005)。确定用户未接收到的信息或被掩盖的信息有可能为新语音处理算法的设计提供指导,这些算法可以减少丢失的信息或替代替代信息。; Nogueira等人,(2005年)使用前向掩蔽来估计掩蔽信息并发现信息替代的好处有限;然而,他们的发现是基于正常听觉的心理声学前向掩盖模式(Nogueira等,2005)。鉴于心理测量的前向掩蔽模式因受试者而异以及电极与电极之间存在差异(例如Shannon,1983; Shannon,1990; Chatterjee和Shannon,1998),因此测量特定于受试者和电极的模式有可能提供更准确的评估被屏蔽的信息。此外,对于临床相关性而言,为所有电极收集全套心理物理正向掩蔽模式所需的实验时间太长了(Throckmorton和Collins,1999)。最近,有人提出,可以通过电诱发的复合动作电位(ECAP)在生理上测量正向掩蔽模式(例如,休斯和斯蒂勒,2009年),这有可能测量针对特定受试者的掩蔽评估所需的信息。这项研究利用ECAP测量来估计受试者的正向掩蔽模式,并将这些掩蔽模式用于估计语音中的掩蔽刺激。使用语音接收阈值任务来评估估计值,以评估语音识别是否通过从受试者的刺激模式中去除“掩盖”的脉冲而受到影响。这项研究的结果表明,通过ECAP测量的正向掩蔽模式可能潜在地确定用户无法感知的信息。掩蔽刺激还用于统计评估最容易被掩蔽的语音片段。这些结果表明,每个音素的掩蔽量取决于特定对象掩蔽模式的特征。

著录项

  • 作者

    Desmond, Jill M.;

  • 作者单位

    Duke University.;

  • 授予单位 Duke University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2011
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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