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42 results about "Spectral flatness" patented technology

Spectral flatness or tonality coefficient, also known as Wiener entropy, is a measure used in digital signal processing to characterize an audio spectrum. Spectral flatness is typically measured in decibels, and provides a way to quantify how noise-like a sound is, as opposed to being tone-like.

Band spreading method and device, electronic equipment and computer readable storage medium

The embodiment of the invention discloses a band spreading method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of performing time-frequency transformation on a narrow-band signal to be processed to acquire a corresponding initial low frequency spectrum; based on the initial low frequency spectrum, acquiring correlation parameters of a highfrequency part and a low frequency part of a target wideband spectrum via a neural network model, wherein the correlation parameters comprise at least one of a high frequency spectrum envelop and relative flatness information, and the relative flatness information represents correlation between the spectrum flatness of the high frequency part and the spectrum flatness of the low frequency part ofthe target wideband spectrum; based on the correlation parameters and the initial low frequency spectrum, acquiring an initial high frequency spectrum; and acquiring a broadband signal after band spreading according to a target low frequency spectrum and a target high frequency spectrum, wherein the target low frequency spectrum is the initial low frequency spectrum or the spectrum acquired afterfiltering treatment is performed on the initial low frequency spectrum, and the target high frequency spectrum is the initial high frequency spectrum or the spectrum acquired after filtering treatment is performed on the initial high frequency spectrum.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Audio detecting method and device, electronic equipment and storage medium

The invention discloses an audio detecting method and device, electronic equipment and a storage medium, and belongs to the technical field of digital audio processing. On the basis of an energy valueof an audio frame, a zero crossing rate, a weight frequency spectrum value and a frequency spectrum flatness in an audio file, linear related coefficients between the audio frame and the previous audio frame and other characteristic parameters, whether or not burst white noise exists in the audio frame is detected, when it is determined that the energy value of the audio frame is larger than a first threshold value, the zero crossing rate is larger than a second threshold value, the weight frequency spectrum value is larger than a third threshold value, the frequency spectrum flatness is larger than a fourth threshold value, and the linear related coefficients between the audio frame and the previous audio frame are smaller than a fifth threshold value, it can be determined that burst white noise existing in the audio frame is detected, on the basis of the audio detecting method, whether or not an audio file of any type has burst white noise can be detected, on the basis of multiple characteristic parameters, the accuracy of the detecting result is higher, and the robustness of the detecting method is higher.
Owner:TENCENT MUSIC ENTERTAINMENT TECH SHENZHEN CO LTD

Audio feature extraction method and device thereof, training method and electronic equipment

The invention discloses an audio feature extraction method and a device thereof, a training method and electronic equipment, and the method comprises the steps: obtaining a to-be-extracted audio according to a preset window length, and dividing the to-be-extracted audio into M audio frames according to a preset frame length; calculating a frequency spectrum corresponding to each audio frame; according to the N frequency domain points of each frequency spectrum, obtaining a fitting slope and a fitting intercept corresponding to each frequency spectrum based on a linear fitting algorithm; calculating the frequency spectrum flatness of each frequency spectrum according to the frequency spectrum and a preset calculation formula; dividing each frequency spectrum into m frequency spectrum bands,calculating to obtain a logarithm frequency spectrum corresponding to each frequency spectrum band, and further calculating to obtain a frequency spectrum contrast ratio of each frequency spectrum; and according to the fitting slope, the fitting intercept, the spectrum flatness and the spectrum contrast of the audio frame, obtaining the characteristic quantity of the audio frame, and further extracting the audio characteristics of the audio to-be-extracted. When the extracted audio features are used for infant cry and other detection scenes, the accuracy of audio detection can be improved.
Owner:普联国际有限公司
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