Microphone Array Speech Recognition Spatial Sound Pressure Detection
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Solution Overview
Problem
Existing speech recognition systems face challenges in distinguishing user speech from ambient sounds when the user is separated from the microphone, leading to incorrect operation and requiring additional costly sensors to prevent errors.
Innovation Solution
A speech recognition method that acquires speech signals, detects spatial sound pressure distribution, identifies point sound sources, and controls the speech recognition process based on the presence of a point sound source, eliminating the need for separate sensors by using a microphone array to differentiate between user speech and ambient noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional sensors (light emitter, light sensor, angle detector, distance detector) are added to prevent incorrect speech recognition operation, then speech recognition reliability is improved, but device complexity and cost increase
Solution Approach 1:
The microphone array is made to perform multiple functions: both speech signal acquisition and spatial sound pressure distribution detection. By analyzing the spatial distribution of sound pressure from the speech signal, the system can identify point sound sources (user speech) versus ambient noise without requiring separate dedicated sensors for each function.
Solution Approach 2:
The speech signal itself is used to detect the spatial sound pressure distribution and identify point sound sources. The system serves itself by extracting spatial information from the speech signal rather than requiring external sensors to provide this information separately.
2Reliability
If additional sensors are added to distinguish user speech from ambient sounds, then speech recognition reliability is improved, but manufacturing cost increases
Solution Approach 1:
The microphone array performs dual functions of speech acquisition and spatial analysis, eliminating the need for separate light sensors, angle detectors, and distance detectors. This reduces component count and manufacturing cost while maintaining the ability to distinguish user speech from ambient sounds.
Solution Approach 2:
The system uses the speech signal itself to provide spatial information needed for reliable recognition, rather than requiring additional expensive sensors to provide this information separately.
3Measurement precision
If separate sensors are used to detect user position and speech direction, then speech recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The microphone array simultaneously performs speech signal acquisition and spatial sound pressure distribution detection. By processing the speech signal to extract spatial information, the system achieves precise user speech detection without requiring separate angle detectors or distance detectors.
Solution Approach 2:
The spatial sound pressure distribution acts as an intermediary that connects the speech signal to the identification of point sound sources. This intermediate representation allows the system to precisely locate user speech in space without direct mechanical or optical measurement devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively prevents incorrect speech recognition operations with a low-cost configuration by reliably identifying and processing user speech while ignoring ambient sounds, enhancing usability without the need for additional sensors.
Implementation Method 1
detecting a spatial sound pressure distribution indicating a distribution of sound pressure in the space, on the basis of the speech signal
Data Source
AI summary
A speech recognition method is provided that recognizes speech for causing equipment to operate. The method includes acquiring a speech signal from a microphone disposed in a designated space. The method also includes detecting a spatial sound pressure distribution indicating a distribution of sound pressure in the space, on the basis of the acquired speech signal, and detecting a point sound source in the space on the basis of the detected spatial sound pressure distribution. The method further includes judging to conduct a speech recognition process on the acquired speech signal when the point sound source is detected.