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首页> 外文期刊>Ear and hearing. >Identification of speech by cochlear implant recipients with the multipeak (MPEAK) and spectral peak (SPEAK) speech coding strategies II. Consonants.
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Identification of speech by cochlear implant recipients with the multipeak (MPEAK) and spectral peak (SPEAK) speech coding strategies II. Consonants.

机译：人工耳蜗接受者通过多峰（MPEAK）和频谱峰（SPEAK）语音编码策略识别语音II。辅音。

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摘要

OBJECTIVE: The 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. DESIGN: Nine 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. RESULTS: Group 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 [symbol see text] 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). CONCLUSIONS: Electrical 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 [symbol see text], 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.
机译：目的：本研究的主要目的是评估Nucleus-22人工耳蜗系统的Multipeak（MPEAK）和Spectral Peak（SPEAK）语音编码策略在辅音识别方面的差异。通过比较辅音的听觉和电极激活分析，以及耳蜗植入接受者在使用两种语音编码策略时对这些相同辅音标记的响应，可以解决此目标。设计：9名受试者使用MPEAK和SPEAK语音编码策略识别了14个英语辅音。将这些策略与ABAB设计进行了比较。在受试者每天至少使用3周的每种策略后，每周两次进行评估。结果：采用SPEAK策略的组中位辅音[aCa]识别得分显着高于采用MPEAK策略的组（76.2％比67.5％; p <0.001）。这种改进很大程度上归因于通过准确跟踪第二共振峰转变和特定光谱的刺激模式以区分[s]与[symbol see text]和[n]与[n]，针对位置特征传输的信息显着增加（p <0.001）。 m]，并且停止辅音爆发。因此，使用SPEAK可以正确识别出更多的鼻辅音，但是当鼻腔杂音幅度异常低时，也会出现更多的非鼻腔错误反应。因此，与MPEAK相比，使用SPEAK传输鼻腔特征的信息少得多（p <0.001）。结论：采用SPEAK策略进行电刺激可更好地表示终止辅音脉冲的频谱表示，跟踪共振峰向后元音的过渡，辅音的摩擦[符号见正文]以及鼻腔[m]和[n]的共振峰使用MPEAK策略。在语音朗读过程中看不到的对语音辅音[g]和[k]的明显改善，应该使与SPEAK的通信比MPEAK更加方便和准确。

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