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Objective assessment of multichannel cochlear implants: Comparison between different strategies for vowel recognition

机译:多通道人工耳蜗植入物的客观评估:元音识别不同策略之间的比较

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摘要

In order to improve and facilitate the assessment of speech recognition performances with cochlear implants (CIs), we have proposed a method [1] based on the processing of large speech databases by the CI and the transfer of the implant output signals on computer for the purpose of automatic classification into phonetic categories (TRANSCLAS method). Automatic assessments obtained with a Digisonic DX10 suggested that correct classification of vowels is better with the "Mel" tuning strategy, in which Digisonic channels are equally spaced on a psychoacoustic scale, than with the "Linear" strategy, in which channel frequencies are equally spaced in Hz. The better performance of the Mel strategy was due to a higher channel density in the vowel formant frequency range. The main purpose of the present work is to see if the implant performance can be improved by a further increase of channel density in the formant frequency range and by using an energy gain of 6 dB per octave ("Mel Modified High Shaping Strategy", or "MMHS"). Automatic assessments suggest that these strategy modifications have a slight negative effect when all 15 channels are active. However, vowel recognition is more resistant to signal distortions with the MMHS strategy. [References: 35]
机译:为了改善和促进对人工耳蜗(CI)的语音识别性能的评估,我们提出了一种方法[1],该方法[1]基于CI处理大型语音数据库,并在计算机上将植入物输出信号传输给计算机。自动分类为语音类别的目的(TRANSCLAS方法)。使用Digisonic DX10进行的自动评估表明,在“ Mel”调音策略中对元音进行正确的分类会更好,在这种调音策略中,Digisonic声道在心理声标度上均等间隔,而在“ Linear”策略中,音阶频率均等地间隔以Hz为单位Mel策略的更好性能是由于元音共振峰频率范围内的通道密度更高。本工作的主要目的是观察是否可以通过在共振峰频率范围内进一步增加通道密度以及通过使用每倍频程6 dB的能量增益来改善植入性能(“ Mel Modified High Shaping Strategy”,或“ MMHS”)。自动评估表明,当所有15个通道均处于活动状态时,这些策略修改会产生轻微的负面影响。但是,通过MMHS策略,元音识别更能抵抗信号失真。 [参考:35]

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