Identification of speech by cochlear implant recipients with the multipeak (MPEAK) and spectral peak (SPEAK) speech coding strategies II. Consonants.
Identification of speech by cochlear implant recipients with the multipeak (MPEAK) and spectral peak (SPEAK) speech coding strategies II. Consonants.
复制标题
使用多峰 (MPEAK) 和谱峰 (SPEAK) 语音编码策略识别人工耳蜗植入者的语音 II。
DOI：
10.1097/00003446-199912000-00001
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发表时间：
1999
期刊：
影响因子：
3.7
通讯作者：
Demorest,ME
中科院分区：
文献类型：
--
作者：
Skinner,MW;Fourakis,MS;Holden,TA;Holden,LK;Demorest,ME
目的评价核子-22人工耳蜗系统多峰（MPEAK）和谱峰（SPEAK）语音编码策略在辅音识别方面的差异。这一目标是通过比较声学和电极激活分析的辅音与耳蜗受者的反应，这些相同的辅音符号，当他们使用两种语音编码策略。设计9名被试使用MPEAK和SPEAK语音编码策略识别14个英语辅音。将这些策略与ABAB设计进行比较。在受试者在日常生活中使用每种策略至少3周后，在每周两次的会议中进行评估。结果：SPEAK策略组中间辅音[aCa]识别得分显著高于MPEAK策略组（76.2%比67.5%,p< 0.001）。这种改善主要是由于位置特征的信息传输显著增加（p< 0.001），通过精确跟踪第二峰转换和频谱特定刺激模式来区分[s]与[∫]和[n]与[m]，以及停止辅音爆发。因此，SPEAK能正确识别更多的鼻辅音，但当鼻杂音振幅异常低时，也会出现更多的非鼻错误反应。因此，与MPEAK相比，SPEAK传递的鼻腔特征信息明显更少（p< 0.001）。结论与MPEAK策略相比，使用SPEAK策略的电刺激可以更好地表征停止辅音的爆发、跟踪到下一个元音的形成峰转换、辅音[∫]的摩擦以及鼻音[m]和[n]的共振峰。在识别元音[g]和[k]方面有了显著的提高，这些在演讲中是看不见的，使用SPEAK应该比使用MPEAK更容易和准确地交流。
ObjectiveThe major objective of this study was to evaluate differences in consonant recognition with the Multipeak (MPEAK) and the Spectral Peak (SPEAK) speech coding strategies of the Nucleus-22 Cochlear Implant System. This objective was addressed by comparison of acoustic and electrode activation analyses of consonants with cochlear implant recipients’ responses to these same consonant tokens when they used the two speech coding strategies.DesignNine subjects identified 14 English consonants with the MPEAK and SPEAK speech coding strategies. These strategies were compared with an ABAB design. Evaluation occurred during two weekly sessions after subjects used each strategy for at least 3 wk in everyday life.ResultsGroup medial consonant [aCa] identification scores with the SPEAK strategy were significantly higher than with the MPEAK strategy (76.2% versus 67.5%; p< 0.001). This improvement was largely due to the significant increase in information transmitted for the place feature (p< 0.001) through accurate tracking of second formant transitions and spectrally specific stimulation patterns to differentiate [s] from [∫] and [n] from [m], and the stop consonant bursts. For this reason, more nasal consonants were correctly identified with SPEAK, but there also were more non-nasal error responses when the nasal murmur was of unusually low amplitude. Consequently, significantly less information was transmitted for the nasality feature with SPEAK than MPEAK (p< 0.001).ConclusionsElectrical stimulation with the SPEAK strategy provided better spectral representation of the stop consonant bursts, tracking formant transitions into the following vowel, frication in the consonant [∫], and the formants for the nasals [m] and [n] than with the MPEAK strategy. The marked improvement in recognition of the velar consonants,[g] and [k], which cannot be seen during speechreading, should allow greater ease and accuracy of communication with SPEAK than MPEAK.
DOI：
10.1016/s0194-5998(97)70173-6
发表时间：
1997-09
期刊：
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
影响因子：
--
作者：
M. Skinner;L. Holden;T. Holden
通讯作者：
M. Skinner;L. Holden;T. Holden
句子上下文中所说的连读元音的动态规范。
DOI：
10.1121/1.397863
发表时间：
1989
期刊：
The Journal of the Acoustical Society of America
影响因子：
--
作者：
W. Strange
通讯作者：
W. Strange
辅音混淆数据的对数线性建模。
影响因子：
2.4
作者：
T. Bell;D. Dirks;H. Levitt;J. Dubno
通讯作者：
J. Dubno