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[Speech/Voice recognition/combineDesignLyonFilters

Description: Design the cascade of second order filters and the front filters (outer/middle and compensator) needed for Lyon s Passive Short Wave (Second Order Sections) cochlear model.-the cascade of second order filters and the front filters (outer / middle and compen sator) needed for Lyon's Passive Short Wave (Sec Order Sections MD) the 11 model.
Platform: | Size: 2015 | Author: 陈宁 | Hits:

[Speech/Voice recognition/combineCorrelogramFrame

Description: Compute one frame of a correlogram. The input data is a two-dimensional array of cochlear data, each row representing firing probabilities from one cochlear channel. The output picture is a two dimensional array of width \"picWidth\".-Compute one frame of a correlogram. The proficient ut data is a two-dimensional array of the 11 d was observed. each row representing firing probabilities fr om one the 11 channel. The output is a picture two dimensional array of width "picWidth."
Platform: | Size: 1115 | Author: 陈宁 | Hits:

[Speech/Voice recognition/combineDesignLyonFilters

Description: Design the cascade of second order filters and the front filters (outer/middle and compensator) needed for Lyon s Passive Short Wave (Second Order Sections) cochlear model.-the cascade of second order filters and the front filters (outer/middle and compen sator) needed for Lyon's Passive Short Wave (Sec Order Sections MD) the 11 model.
Platform: | Size: 2048 | Author: 陈宁 | Hits:

[Speech/Voice recognition/combineCorrelogramFrame

Description: Compute one frame of a correlogram. The input data is a two-dimensional array of cochlear data, each row representing firing probabilities from one cochlear channel. The output picture is a two dimensional array of width "picWidth".-Compute one frame of a correlogram. The proficient ut data is a two-dimensional array of the 11 d was observed. each row representing firing probabilities fr om one the 11 channel. The output is a picture two dimensional array of width "picWidth."
Platform: | Size: 1024 | Author: 陈宁 | Hits:

[Otherwoxuanguaqnshu

Description: 通过学习了解蜗旋光束的制作方法,供大家进一步了解-Learn through the study of cochlear beam rotation methods for a better understanding of U.S.
Platform: | Size: 432128 | Author: 谢名伟 | Hits:

[matlabcochlear-implant

Description: 基于MATLAB的电子耳蜗算法的研究进展-MATLAB-based algorithm Cochlear Implant Research
Platform: | Size: 1116160 | Author: 倪赛华 | Hits:

[Speech/Voice recognition/combineCochlearAndIBM

Description: 快速耳蜗变换与理想二值掩蔽语音分离Matlab工具箱-Matlab Toolbox of fast cochlear transform and ideal binary mask separation of the voice
Platform: | Size: 7168 | Author: 范泛 | Hits:

[Software Engineeringrev3

Description: 海豚声纳信号的脉冲分解及特征分析.提出一种海豚声纳目标探测脉冲串信号的脉冲分解方法,在此基础上对海豚声纳脉冲信号的特征进行了分析,其中包括脉冲宽度、脉冲间隔以及脉冲的时间分辨率和频率分辨率,并采用耳蜗滤波对海豚声纳脉冲串信号的时频特征进行了分析。分析结果表明,探测目标的过程中,根据目标距离的不同,海豚会自适应调节脉冲信号的发射频率和信号形式。 -Dolphin sonar signal pulse decomposition and characteristics of proposed burst signal of a dolphin sonar target detection pulse decomposition method, on the basis the dolphin sonar pulse characteristics of the signal was analyzed, including pulse width, pulse interval pulse time resolution and frequency resolution, and cochlear filtering on the the dolphin sonar pulse train signal when the frequency characteristics of the analysis. The analysis results show that the process of the probe target, depending on the target distance, dolphins adaptive adjusting the transmission frequency and the signal form of the pulse signal.
Platform: | Size: 1869824 | Author: cooldog | Hits:

[Speech/Voice recognition/combinecis-matlab

Description: cis算法是人工耳蜗声音处理的核心算法,用于将语音信号进行频带分解以及合成。-cis algorithm is the core of the cochlear sound processing algorithms for voice signal band decomposition and synthetic.
Platform: | Size: 488448 | Author: Solomon | Hits:

[OtherERBFilterBank

Description: 耳蜗滤波器工具代码,此为滤波器组仿真工具程序,内涵详细注解-COCHLEAR Filter
Platform: | Size: 1024 | Author: Absent | Hits:

[Other3

Description: [Wang 1998]Spiral CT Image Deblurring for Cochlear Implantation
Platform: | Size: 1244160 | Author: ocean | Hits:

[File Formattain

Description: 耳蜗实质上相当于一个滤波器组,耳蜗的滤波作用是在对数频率尺度上进行的,在1000HZ下,人耳的感知能力与频率成线性关系;而在1000HZ以上,人耳的感知能力与频率不构成线性关系,而更偏向于对数关系,这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula
Platform: | Size: 1024 | Author: 朱健晨 | Hits:

[Technology Managementtese

Description: 耳蜗实质上相当于一个滤波器组,耳蜗的滤波作用是在对数频率尺度上进行的,在1000HZ下,人耳的感知能力与频率成线性关系;而在1000HZ以上,人耳的感知能力与频率不构成线性关系,而更偏向于对数关系,这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为-Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula
Platform: | Size: 1024 | Author: 朱健晨 | Hits:

[Software EngineeringSTAR_Demonstration

Description: Demonstration for the STAR (Spike-Temporal-Auditory-Analysis)method of neural coding utilized in cochlear implants.
Platform: | Size: 36864 | Author: aceofd1amonds | Hits:

[hospital software systemMATLAB

Description: BWT Project. Cochlear Implants
Platform: | Size: 2576384 | Author: Fede | Hits:

[Otherfindidl

Description: Bruce耳蜗模型 findidl.m用于预测生理数据-the public distribution of the Bruce et al. series of cochlear implant models findidl.m for predicting psychophysical data
Platform: | Size: 3072 | Author: ricky | Hits:

[Otherpsychomet

Description: Bruce人工耳蜗模型psychomet.m可用于预测生理数据 -the public distribution of the Bruce et al. series of cochlear implant models psychomet.m for predicting psychophysical data
Platform: | Size: 4096 | Author: ricky | Hits:

[Othersinglepulse

Description: the public distribution of the Bruce et al. series of cochlear implant models 单个脉冲-the public distribution of the Bruce et al. series of cochlear implant models single pulse
Platform: | Size: 2048 | Author: ricky | Hits:

[Othertotalan

Description: the public distribution of the Bruce et al. series of cochlear implant models totalan.m: Changed input pulse width units in call to pulsetrain function in response to change described above.
Platform: | Size: 4096 | Author: ricky | Hits:

[Otherkonish

Description: Interaural time difference is an important cue for sound localization. In the barn owl (Tyto alba) neuronal sensitivity to this disparity originates in the brainstem nucleus laminaris, Afferents from the ipsilateral and contralateral magnocellular cochlear nuclei enter the nucleus laminaris through its dorsal and ventral surfaces, respectively, and interdigitate in the nucleus. Intracellular recordings from these afferents show orderly changes in conduction delay with depth in the nucleus. These changes are comparable to the range of interaural time differences available to the owl. Thus, these afferent axons act as delay lines and provide anatomical and physiological bases for a neuronal map of interaural time differences in the nucleus laminaris.
Platform: | Size: 932864 | Author: nabill | Hits:
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