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AEC
基于LMS算法和NLMS算法的自适应声回波消除器AEC，实现的主要功能是：在用户对电视发出的指令混杂了电视扬声器的声学回声的情况下，滤掉电视声音得到较为纯净的用户语音指令信号。(The main function of the adaptive filter based on the LMS algorithm and the NLMS algorithm is mixed: in the instruction issued by the user on the television TV speakers acoustic echo case, the TV sound was removed by filtration to obtain relatively pure user voice command signal.)
- 2012-10-29 16:49:47下载
- 积分：1
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speaker_recognition
说话人识别系统,界面友好，可以对实时录音的说话人进行识别(Speaker recognition system, user-friendly, real-time recording can be carried out to identify the speaker)
- 2021-04-20 14:38:50下载
- 积分：1
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speech-recognition
实现语音识别，使用HTK工具。README描述了具体的训练过程。(Voice recognition, using HTK tools. README describes the specific training process.)
- 2013-11-27 14:01:11下载
- 积分：1
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main
对语音信号基频的提取对于语音信号的分析有一定作用(Basic frequency of speech Analysis )
- 2014-05-22 12:28:43下载
- 积分：1
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xeom-from-from
Get color from RGB 从RGB中获得颜色(Get color from RGB gets colors from RGB)
- 2019-05-09 17:28:37下载
- 积分：1
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pcm
对语音信号进行脉冲编码调制，采用A律13折线(Voice signal pulse coding modulation, using A Law 13 polyline)
- 2016-12-23 15:50:48下载
- 积分：1
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Fast ICA
fastICA用于盲源分离，文件中有三个语音文件进行混合后再分离。(FastICA is used for blind source separation, in which three voice files are mixed and then separated.)
- 2020-06-30 11:20:02下载
- 积分：1
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voice
Matlab 语音合成，可进行语音处理与还原(Matlab dealing with voice)
- 2012-02-28 15:01:50下载
- 积分：1
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Cepstrum
这是语音信号处理中求倒谱的程序,我自己编的,很简单,实现了一段序列求倒谱的功能(This is the voice signal processing for cepstrum procedures, I developed, is very simple. achieve a sequence for the functional cepstrum)
- 2006-10-11 20:12:24下载
- 积分：1
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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
