METHOD AND DEVICE FOR DETECTING NOISE BURSTS IN SPEECH SIGNALS

摘要

A method and device for detecting noise bursts in speech signals are disclosed. The method including: partitioning a section of speech signals to be detected into a plurality of speech frames, performing in each of the plurality of speech frames: Fast Fourier Transform (FFT) processing in frequency-domain, afterwards computing across an entire frequency range, an energy value corresponding to each of the frequency point; utilizing the computed energy value to compute a mean energy value of the speech frame; computing a low frequency range mean energy value; performing clustering analysis on the low frequency range mean energy value over the plurality of speech frames; determining a range of strong energy value based on the clustering analysis result; detecting whether the mean energy value falls within the range of strong energy value; if so: indicating that the section of speech signals to be detected has a noise burst.

主权项

1. A method for detecting noise bursts, comprising:
partitioning a section of speech signals to be detected into a plurality of speech frames, and performing the following in each of the plurality of speech frames:
Fast Fourier Transform (FFT) processing in frequency-domain, afterwards computing across an entire frequency range, an energy value corresponding to each of the frequency point;utilizing the computed energy value corresponding to each of the frequency point to compute a mean energy value of the speech frame across the entire frequency range;computing a low frequency range mean energy value for the speech frame over the low frequency range;using a clustering algorithm, performing clustering analysis on the low frequency range mean energy value over the plurality of speech frames in the section of speech signals;determining a range of strong energy value based on the clustering analysis result;detecting whether the mean energy value in each of the plurality of speech frames across the entire frequency range falls within the range of strong energy value;if it has been detected that the mean energy value in at least one speech frame out of the plurality of speech frames in the section of speech signals falls within the range of strong energy value:
confirming or indicating that the section of speech signals to be detected has a noise burst; otherwise, confirming or indicating that the section of speech signals to be detected does not have a noise burst.