Abstract: The performance of Mandarin tone and sentence recognition in cochlear implant falls sharply in noise environment. In order to solve the problem, this paper proposes a coding strategy based on the Zero-Crossing time of the temporal Fine Structure（FSZC） of the speech. The high-speed pulse stimulation sequences are generated at the zero-crossing time of the fine structure, thus the coding strategy not only includes the fine structure but also uses the non-uniform pulses which ensures the spatial and time encoding of the speech. Acoustic simulation results show that compared with Continuous Interleaved Sampling（CIS） strategy and the Zero-Crossing Time（ZCT） stimulating strategy, the Mandarin tone and sentence recognition rate have improved to a greater extent with the FSZC strategy, and the FSZC strategy has a stronger anti-noise performance.

Key words: temporal fine structure, zero-crossing, Mandarin tone, Cochlear Implant（CI）

摘要： 针对目前噪声环境下电子耳蜗汉语声调和语句识别率急剧下降问题，提出了一种基于时间精细结构过零刺激方案（FSZC）。利用语音信号时间精细结构的过零点时刻产生高速脉冲刺激序列，从而不仅将时间精细结构编码到电子耳蜗语音算法中，同时采用过零点时刻非均匀的采样脉冲刺激序列，确保了语音的空间编码和时间编码。声学模拟实验表明，相比于连续交替采样策略（CIS）和过零点时刻刺激策略（ZCT），FSZC方案在汉语声调和语句识别率上都有较大程度的提高，而且在噪声环境下对于声调和语句识别具有相对较强的抗噪性。

关键词: 时间精细结构, 过零点, 汉语声调, 电子耳蜗