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Method for selectively mapping signal complexity and code rate

A technology of encoding rate and implementation method, which is applied in speech analysis, speech recognition, instruments, etc.

Inactive Publication Date: 2012-07-25
HOHAI UNIV
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  • Claims
  • Application Information

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However, this type of research is still in its infancy, and there are not many results

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  • Method for selectively mapping signal complexity and code rate
  • Method for selectively mapping signal complexity and code rate
  • Method for selectively mapping signal complexity and code rate

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Embodiment Construction

[0028] The method of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] The mapping implementation method of signal complexity and encoding rate selection includes the following steps:

[0030] A. Feature extraction: extract the feature parameter set of the audio input signal, and derive the input audio signal based on the feature parameter set

[0031] feature vector. feature extraction process (such as figure 1 shown) consists of the following steps:

[0032] A1. Before extracting features, the audio signal is first converted into a digital form, that is, the audio file in the form of wav is sampled at a certain sampling rate to obtain a series of discrete sampling points.

[0033] A2. Divide the digital audio signal into frames, that is, divide the frame by calculating how many sampling points are included in a certain period of time. According to the research on the speech si...

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Abstract

The invention discloses a method for selectively mapping a signal complexity and a code rate, comprising the following five steps of: feature extraction: extracting a feature parameter set of audio input signals and exporting feature vectors of the audio input signals based on the feature parameter set; MOS (Mean Opinion Score) value extraction: establishing an MOS value database of code quality; clustering: clustering the samples of the feature vectors to obtain a feature cluster codebook; correspondence: establishing a corresponding relationship between types obtained through the clustering process and the code rates to obtain a mapping relationship codebook of the signal complexity and the code rate; and test: testing whether the codebook is valid. Through the correct use of the method, on one hand, classification research of music can be further implemented, and on the other hand, classification of music complexity can be implemented. On the premise of high code quality, music with different complexities is coded at different rates so that balance between tone quality and file size is reached, thereby guiding automatic selection of the code rates and improving code transmission efficiency.

Description

technical field [0001] The invention belongs to the technical field of acoustic signal analysis and processing, and in particular relates to classifying music signals according to their signal complexity, providing a basis for encoding rate selection, and improving encoding and transmission efficiency. Background technique [0002] With the development of communication technology, people pay more and more attention to digital communication. An important symbol of modern communication is the digitalization of communication. The most prominent advantages of digital signals are that they are less affected by channel noise, easy to reproduce and store, easy to protect and encrypt errors, and easy to multiplex, group and combine. However, if the audio signal is directly encoded after A / D conversion, a large amount of data will be generated, which is not conducive to transmission or storage. Therefore, in order to improve efficiency, the audio signal must be compressed; and the or...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/08G10L19/10G10L15/06G10L21/00
Inventor 严勤周云春
Owner HOHAI UNIV