Formant map counterpart in auditory processing based on cochlear pressure wave trajectories

T. Harczos, S. Werner, G. Szepannek
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Abstract

It is known for a long time that vowels can be classified using spectrum analysis and formant map templates. But in systems having poor spectral resolution, e.g. in cochlear implants, it may be interesting to see if a map of vowel classes can be constructed based on temporal cues only. We present a bio-inspired approach to extract the shape of cochlear pressure wave trajectories for speech signals and provide a simple vowel classification method not requiring any spectral information directly. Experiments and results included in this study emphasize the importance of biotic cochlear delays and urge their application in future cochlear implant speech processing strategies.
基于耳蜗压力波轨迹的听觉加工中形成峰图对应
很长一段时间以来,人们都知道元音可以使用频谱分析和构象图模板进行分类。但在频谱分辨率较差的系统中,例如在人工耳蜗中,看看是否可以仅基于时间线索构建元音类地图可能会很有趣。我们提出了一种生物启发的方法来提取语音信号的耳蜗压力波轨迹的形状,并提供了一种简单的元音分类方法,不需要任何直接的频谱信息。本研究的实验和结果强调了生物耳蜗延迟的重要性,并敦促其在未来人工耳蜗语音处理策略中的应用。
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