-
SegSNR_esitmate
分段信噪比测试,主要是用于语音增强,语音编码后的测试使用(segment SNR test, primarily for speech enhancement, speech coding after testing)
- 2021-04-04 12:09:04下载
- 积分:1
-
cubica算法performes
cubica算法performes ICA by diagonalization of third- and fourth-order cumulants simultaneously(cubica algorithm performes ICA by diagonalization of third- and fourth-order cumulants simultaneously)
- 2005-03-30 22:27:17下载
- 积分:1
-
BlockandSubbandAdaptiveFilters
块和子带自适应滤波器matlab源文件,内有详细说明及运行结果图(Block and Subband Adaptive Filters)
- 2021-04-20 16:08:50下载
- 积分:1
-
wden1.rar
优化小波阈值,对硬阈值和软阈值的改进,通常用于语音信号增强,去噪(Optimization of wavelet threshold, the hard threshold and soft threshold improvement, commonly used in speech signal enhancement and denoise)
- 2020-12-02 18:29:26下载
- 积分:1
-
speechrecognitionbasedonhmm
基于hmm的识别程序
识别数字0-9,识别率全对(speech recognition based on hmm
number 0-9 all right)
- 2009-05-13 11:20:37下载
- 积分:1
-
最终代码说话人识别
实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)
- 2019-05-20 15:04:44下载
- 积分:1
-
VQ-Matlab
基于矢量量化的孤立词语音识别系统看,性能良好,Matlab 实现!(Based on vector quantization of isolated word speech recognition system to see, good performance, Matlab to achieve!)
- 2011-10-19 11:01:09下载
- 积分:1
-
Enhancement_colume_masking
1.单通道语音增强算法;
2.一种能够快速跟踪噪声变化的,基于噪声统计特性的噪声估计算法,结合谱减法进行消除噪声;
3.算法复杂度适中,可以满足实时性(1. Single-channel speech enhancement algorithm 2. A fast-track noise can change, based on the noise statistical properties of the noise estimation algorithm, combined with spectral subtraction to eliminate noise 3. Algorithm moderate complexity to meet the real-time)
- 2008-12-10 10:45:39下载
- 积分:1
-
57069846
System Time Modifier ModifySysTimeItem
- 2019-05-09 22:44:03下载
- 积分:1
-
specsub_modified11
语音唤醒就是在设备待机状态下,用户说出特定的语音指令(唤醒词)使设备进入工作状态或完成某一操作。设备为了实现语音唤醒功能,就需要设备实时监听,也就是实时的录音并分析有没有唤醒词来唤醒设备。评价一个语音唤醒系统的标准有三个:唤醒正确率、误报率、功耗。一般情况下,唤醒正确率越高 ,误报率也越高。好的系统就需要唤醒率高,误报率低,功耗低。(Speech wakeup is when the device is in standby mode, the user speaks a particular voice command (wake up word), so that the device enters the work state or completes an operation. In order to realize the function of speech wakeup, the device needs real-time monitoring, that is, real-time recording and analyzing whether or not wake words are used to wake up the equipment. There are three criteria for evaluating a voice wakeup system: wakeup accuracy, false positive rate, and power consumption. Generally, the higher the correct rate of arousal, the higher the false positive rate. A good system requires high wake-up rate, low false positive rate and low power consumption.)
- 2017-08-15 16:45:55下载
- 积分:1