Speech Power Distribution Analysis for Microphone Variation Detection
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Solution Overview
Problem
Existing speech signal processing devices face challenges in accurately determining whether the power of a reference speech signal corresponds with the predetermined reference power due to variations in microphone positions and background noise over time.
Innovation Solution
A speech signal processing device equipped with a power acquisition means, a probability distribution acquisition means, and a correspondence degree determination means, which acquires power intensity, estimates probability distributions, and determines the correspondence degree between the acquired power and reference power based on these distributions, using methods like gamma distribution representation for background noise and distribution distance values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the speech signal processing device uses the average of power acquired at a plurality of moments as the acquisition power and reference power, then the device can handle variations in microphone positions and background noise, but the device cannot determine with high accuracy whether power acquired when a predetermined reference speech signal is inputted corresponds with predetermined reference power
Solution Approach 1:
The invention changes the parameter from using average power across multiple moments to using probability distribution characteristics (mean and variance) of power values. By analyzing the statistical properties of power measurements, the system can distinguish between variations caused by microphone position differences and actual microphone faults, thereby improving measurement precision while maintaining adaptability.
Solution Approach 2:
The invention introduces probability distribution as an intermediary between the raw power measurements and the fault determination. Instead of directly comparing average power values, the system uses probability distribution characteristics as an intermediate representation that captures both the magnitude and variability of power measurements, enabling more accurate fault detection.
2Adaptability or versatility
If the speech signal processing device acquires power N-times with varying power values (P0, P1, P2), then the device can account for background noise variations, but the device obtains the same average power (P0/N) and loses the ability to detect power correspondence accurately
Solution Approach 1:
The invention changes from using a single average power parameter to using probability distribution parameters (mean and variance). This allows the system to capture both the central tendency and the spread of power values, enabling it to distinguish between expected background noise variations and actual microphone faults while maintaining adaptability to different acoustic environments.
Solution Approach 2:
The invention replaces the simple arithmetic averaging mechanism with a statistical probability distribution analysis. Instead of mechanically computing a single average value, the system uses statistical methods to model the distribution of power measurements, providing more nuanced information about power correspondence that preserves detection accuracy.
Data Source
AI summary
A speech signal processing device is equipped with a power acquisition unit, a probability distribution acquisition unit, and a correspondence degree determination unit. The power acquisition unit accepts an inputted speech signal and, based on the accepted speech signal, acquires power representing the intensity of a speech sound represented by the speech signal. The probability distribution acquisition unit acquires a probability distribution using the intensity of the power acquired by the power acquisition unit as a random variable. The correspondence degree determination unit determines whether a correspondence degree representing a degree that power acquired by the power acquisition unit in a case that a predetermined reference speech signal is inputted into the power acquisition unit corresponds with predetermined reference power is higher than a predetermined reference correspondence degree, based on the probability distribution acquired by the probability distribution acquisition unit.