Lee Tan, Yu Shing, Yuan Meng, Wong Terence Ka Cheong, Kong Ying-Yee
* Department of Electronic Engineering, The Chinese University of Hong Kong , China.
Int J Audiol. 2014 Aug;53(8):546-57. doi: 10.3109/14992027.2014.893374. Epub 2014 Apr 3.
This study investigates the efficacy of a cochlear implant (CI) processing method that enhances temporal periodicity cues of speech.
Subjects participated in word and tone identification tasks. Two processing conditions - the conventional advanced combination encoder (ACE) and tone-enhanced ACE were tested. Test materials were Cantonese disyllabic words recorded from one male and one female speaker. Speech-shaped noise was added to clean speech. The fundamental frequency information for periodicity enhancement was extracted from the clean speech. Electrical stimuli generated from the noisy speech with and without periodicity enhancement were presented via direct stimulation using a Laura 34 research processor. Subjects were asked to identify the presented word.
Seven post-lingually deafened native Cantonese-speaking CI users.
Percent correct word, segmental structure, and tone identification scores were calculated. While word and segmental structure identification accuracy remained similar between the two processing conditions, tone identification in noise was better with tone-enhanced ACE than with conventional ACE. Significant improvement on tone perception was found only for the female voice.
Temporal periodicity cues are important to tone perception in noise. Pitch and tone perception by CI users could be improved when listeners received enhanced temporal periodicity cues.
本研究调查一种增强语音时间周期性线索的人工耳蜗(CI)处理方法的疗效。
受试者参与单词和声调识别任务。测试了两种处理条件——传统的高级组合编码器(ACE)和声调增强型ACE。测试材料是从一名男性和一名女性说话者录制的粤语双音节词。在纯净语音中添加了言语噪声。从纯净语音中提取用于增强周期性的基频信息。使用Laura 34研究处理器通过直接刺激呈现有无周期性增强的噪声语音产生的电刺激。要求受试者识别呈现的单词。
七名语后聋的粤语母语人工耳蜗使用者。
计算正确单词百分比、音段结构和声调识别分数。虽然在两种处理条件下单词和音段结构识别准确率保持相似,但在噪声中,声调增强型ACE的声调识别比传统ACE更好。仅在女性声音中发现声调感知有显著改善。
时间周期性线索对噪声中的声调感知很重要。当听众接收到增强的时间周期性线索时,人工耳蜗使用者的音高和声调感知可以得到改善。