title: [Low frequency-based non-uniform sampling strategy to improve Chinese recognition in cochlear implant].
abstract: To enhance speech recognition, as well as Mandarin tone recognition in noice, we proposed a speech coding strategy called zero-crossing of fine structure in low frequency (LFFS) for cochlear implant based on low frequency non-uniform sampling (LFFS for short). In the range of frequency perceived boundary of human ear, we used zero-crossing time of the fine structure to generate the stimulus pulse sequences based on the frequency selection rule. Acoustic simulation results showed that although on quiet background the performance of LFFS was similar to continuous interleaved sampling (CIS), on the noise background the performance of LFFS in Chinese tones, words and sentences were significantly better than CIS. In addition to this, we also got better Mandarin recognition factors distribution by using the improved index distribution model. LFFS contains more tonal information which was able to effectively improve Mandarin recognition of the cochlear implant.
authors.forename: Saihua
authors.initials: S
authors.lastname: Ni
authors.forename: Wenye
authors.initials: W
authors.lastname: Sun
authors.forename: Baoyin
authors.initials: B
authors.lastname: Sun
authors.forename: Qiang
authors.initials: Q
authors.lastname: Zhou
authors.forename: Qiang
authors.initials: Q
authors.lastname: Wang
authors.forename: Zhenming
authors.initials: Z
authors.lastname: Wang
authors.forename: Jihua
authors.initials: J
authors.lastname: Gu
authors.forename: Zhi
authors.initials: Z
authors.lastname: Tao
mesh_terms: D000162:Acoustics; D003054:Cochlear Implants; D004867:Equipment Design; D006801:Humans; D007802:Language; D009622:Noise; D021641:Recognition, Psychology; D013067:Speech Perception