Vibration distortion-based voice frequency objective quality evaluating method and system

Abstract

The invention discloses a vibration distortion-based voice frequency objective quality evaluating method and system. The system comprises a sensing model and a cognition module, wherein the sensing module further comprises a time frequency analyzing module, a tone sensing module, a quality vibration module and an energy balancing module; the output of the sensing module is model output parameters and is fitted through the cognition module so as to obtain user experience scores. The invention provides a method and a system for evaluating objective quality of voice frequency, which consider quality vibration influence, the method and the system are applicable to mobile voice frequency of middle-low code rate voice frequency, and the evaluation result is more approximate to real subjective hearing feeling.

Description

technical field [0001] The invention relates to the field of objective evaluation of speech and audio quality, in particular to a method and system for evaluating the objective quality of speech and audio based on jitter distortion. Background technique [0002] With the continuous development and wide popularization of mobile communication devices, the application of mobile voice and audio becomes more convenient and frequent. In mobile communication, speech and audio codecs require the use of speech and audio coding algorithms with low computational complexity, low bit rate and high quality, while traditional speech and audio objective quality evaluation methods are not suitable for testing low bit rate speech and audio sequences . At the same time, the mobile communication network has interference factors such as instability, and the traditional voice and audio objective quality evaluation method does not consider the influence of communication network parameters on the ...

AI Technical Summary

Problems solved by technology

In mobile communication, speech and audio codecs require the use of speech and audio coding algorithms with low computational complexity, low bit rate and high quality, while traditional speech and audio objective quality evaluation methods are not suitable for testing low bit rate speech and audio sequences

At the same time, the mobile communication network has interference factors such as instability, and the traditional voice and audio objective quality evaluation method does not consider the influence of communication network parameters on the voice and audio quality.

Based on the above two deficiencies, when the traditional speech and audio objective quality evaluation method is applied to mobile speech and audio sequences, the evaluation results are quite different from the real subjective auditory experience.

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