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Description: This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .-This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .
Platform: |
Size: 2048 |
Author: Manish Sharma |
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Description: 本程序用于测量增强语音与纯净语音的对数谱距离，用于语音增强。对数谱距离越小，表明增强语音与纯净语音越接近，增强语音质量越好；反之，则增强语音质量越差。-Calculates the average log-spectral distance between CLEAN and NOISY
signals. Frames are 25ms long with 60 percent (15ms) overlap, hamming
windowed. RS is the remove silence option (default: 0) if 1, the program
uses a Voice Activity Detector to find non-speech frames and eliminates
them from calculation of LSD. FS is the sampling frequency (Default
10KHz).
Platform: |
Size: 3072 |
Author: 阿铁 |
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Description: voice) is the target signal and the
second one (woman s voice) is the interfering speaker. To contrast the
effects of an interference speaker (non-stationary noise) with a white
noise inference (stationary noise/constant power) a white noise signal
is also used. These signals are then scaled (varying SNR) to illustrate
Good intelligibility (~.6), barely intelligible (~.2), and unintelligible
(.1).
The output of the script plots the Speech intelligibility Index for 100 ms
windows over the speech signal, and displays the computed mean and standard
deviation of SII (for active speech, silence intervals were excluded).
Users can change the envelope threshold which is used to remove the
Functions required from Array Toolbox
1. intel.m
2. spectrumlevel.m
3. sii.m
4. rmsilence.m
2 Data Files required
Written by Arulkumaran Muthukumarasamy (arulkumaran@uky.edu) July 2008-voice) is the target signal and the
second one (woman s voice) is the interfering speaker. To contrast the
effects of an interference speaker (non-stationary noise) with a white
noise inference (stationary noise/constant power) a white noise signal
is also used. These signals are then scaled (varying SNR) to illustrate
Good intelligibility (~.6), barely intelligible (~.2), and unintelligible
(.1).
The output of the script plots the Speech intelligibility Index for 100 ms
windows over the speech signal, and displays the computed mean and standard
deviation of SII (for active speech, silence intervals were excluded).
Users can change the envelope threshold which is used to remove the
Functions required from Array Toolbox
1. intel.m
2. spectrumlevel.m
3. sii.m
4. rmsilence.m
2 Data Files required
Written by Arulkumaran Muthukumarasamy (arulkumaran@uky.edu) July 2008
Platform: |
Size: 2048 |
Author: tunaram |
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Description: silence removal matlab code to remove from speech signal
Platform: |
Size: 1024 |
Author: sumir |
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Description: end point detection or silence removal i.e to remove voiced or unvoiced speech
Platform: |
Size: 1024 |
Author: aaron |
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