University of Maryland at College Park, Maryland, USA.
Ear Hear. 2010 Feb;31(1):63-9. doi: 10.1097/aud.0b013e3181b7190c.
The aim of this study was to determine the minimum amount of low-frequency acoustic information that is required to achieve speech perception benefit in listeners with a cochlear implant in one ear and low-frequency hearing in the other ear.
The recognition of monosyllabic words in quiet and sentences in noise was evaluated in three listening conditions: electric stimulation alone, acoustic stimulation alone, and combined electric and acoustic stimulation. The acoustic stimuli presented to the nonimplanted ear were either low-pass-filtered at 125, 250, 500, or 750 Hz, or unfiltered (wideband).
Adding low-frequency acoustic information to electrically stimulated information led to a significant improvement in word recognition in quiet and sentence recognition in noise. Improvement was observed in the electric and acoustic stimulation condition even when the acoustic information was limited to the 125-Hz-low-passed signal. Further improvement for the sentences in noise was observed when the acoustic signal was increased to wideband.
Information from the voice fundamental frequency (F0) region accounts for the majority of the speech perception benefit when acoustic stimulation is added to electric stimulation. We propose that, in quiet, low-frequency acoustic information leads to an improved representation of voicing, which in turn leads to a reduction in word candidates in the lexicon. In noise, the robust representation of voicing allows access to low-frequency acoustic landmarks that mark syllable structure and word boundaries. These landmarks can bootstrap word and sentence recognition.
本研究旨在确定对于单耳植入人工耳蜗、对侧低频听力下降的患者,实现言语感知增益所需的最小低频声信息量。
在三种听力条件下评估单音节词在安静环境中的识别和句子在噪声中的识别:单独电刺激、单独声刺激和电声联合刺激。施加于非植入耳的声刺激要么通过 125Hz、250Hz、500Hz 或 750Hz 进行低通滤波,要么为未滤波(宽带)。
向电刺激信息中添加低频声信息可显著提高安静环境下的单词识别和噪声环境下的句子识别。即使声信息仅限于 125Hz 低通信号,在电声刺激条件下也观察到了改善。当声信号增加到宽带时,对噪声中的句子的识别也进一步得到改善。
当声刺激添加到电刺激时,基频(F0)区域的信息可解释大部分言语感知增益。我们提出,在安静环境中,低频声信息可改善发声的表示,从而减少词汇中的单词候选。在噪声中,发声的稳健表示可访问标记音节结构和单词边界的低频声地标。这些地标可以引导单词和句子的识别。