Method for analyzing similarity based on voice features

A technology of similarity analysis and sound characteristics, applied in speech analysis, instruments, etc., can solve the problems of high algorithm complexity, difficult to implement, and difficult to implement and apply.

Inactive Publication Date: 2017-10-20
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0002] Safe, fast and effective monitoring of broadcast audio is an urgent problem to be solved at present, and most of the existing research on audio content is mainly about audio classification, audio retrieval, speech recognition, etc. The algorithms used for these researches are complex In the actual audio similari

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  • Method for analyzing similarity based on voice features
  • Method for analyzing similarity based on voice features

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Embodiment 1

[0056] Embodiment 1: the audio similarity analysis of the present invention comprises the following steps:

[0057] (1) Audio collection: Audio collection is to receive the audio to be tested through the microphone. This process needs to convert the analog signal into a digital signal, set the number of channels for the microphone to receive audio, and set the sampling rate and quantization accuracy at the same time. In order to restore the original continuous without distortion signal, the sampling rate needs to satisfy the Nyquist sampling theorem;

[0058] (2) When receiving test audio through the microphone, the number of receiving channels needs to be set. When receiving voice signals, set it to monophonic, and when receiving music signals, set it to dual channels. The sampling rate satisfies the Nyquist sampling theorem, and the sampling rate f s ≥2f h , f h is the highest frequency of the signal,

[0059] Set the number of receiving channels to mono, the sampling ra...

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Abstract

The invention relates to a method for analyzing similarity based on voice features, which belongs to the technical field of audio signal processing. To compare the similarity of two audios to be tested, the method uses the amplitude and the zero-crossing rate in physical characteristics as basic parameters to compare the audio similarity degree and compares three physical feature parameter algorithms including waveform comparison, envelope comparison and zero-crossing rate comparison. The similarity value is calculated through a correlation function; a similarity threshold is set; the similarity value and a similarity threshold are compared to determine the similarity. The method can be used for comparing the similarity of audio signals and can be applied to the monitoring of broadcast television signals. Compared with the prior art, the algorithm of the invention is simple, the theory is clear, and the technology is easy to implement.

Description

technical field [0001] The invention relates to a sound feature-based similarity analysis method, which belongs to the technical field of audio signal processing. Background technique [0002] Safe, fast and effective monitoring of broadcast audio is an urgent problem to be solved at present, and most of the existing research on audio content is mainly about audio classification, audio retrieval, speech recognition, etc. The algorithms used for these researches are complex In the actual audio similarity comparison, these algorithms are often difficult to implement and apply. Existing content-based audio research mainly focuses on audio classification, audio retrieval, and speech recognition. The algorithm complexity is high, the theory is complex, and it is difficult to implement it in practical applications. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a similarity analysis method based on sound features, wh...

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Application Information

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IPC IPC(8): G10L25/03G10L25/51
CPCG10L25/03G10L25/51
Inventor 龙华张琳邵玉斌杜庆治
Owner KUNMING UNIV OF SCI & TECH
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