Audio Device Voice Recognition Malfunction Prevention
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Solution Overview
Problem
Information terminals, such as smartphones, can malfunction by recognizing unintended voices, leading to unintended operations.
Innovation Solution
An audio device equipped with a sound sensor, sound separation, sound determination, and processing portions, which uses a machine learning model to differentiate between intended and unintended voices, and cancels noise by generating sound with an opposite phase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech recognition is enabled on information terminals, then convenience of operation is improved, but reliability deteriorates due to recognition of unintended voices
Solution Approach 1:
The voice signal is segmented into multiple frequency bands using band-pass filters, allowing the system to analyze specific frequency ranges characteristic of different speakers. This segmentation enables the identification of registered user voices while filtering out unrecognized voices, thereby maintaining operational convenience while improving recognition reliability.
Solution Approach 2:
The system employs feedback mechanisms where recognition results are continuously monitored and used to adjust noise cancellation parameters and voice recognition sensitivity. This closed-loop approach allows the system to adapt to different acoustic environments and improve its ability to distinguish between intended and unintended voices, resolving the contradiction between ease of operation and reliability.
2Measurement precision
If noise cancellation is applied to improve speech recognition accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system utilizes acoustic vibration analysis by processing sound waves through multiple band-pass filters with different center frequencies. This approach leverages the physical properties of sound vibration to separate speech from noise in different frequency bands, achieving improved speech recognition accuracy through relatively simple filter-based processing rather than complex computational algorithms.
Solution Approach 2:
The patent replaces complex mechanical noise cancellation systems with electronic signal processing methods. By using electronic band-pass filters and digital signal processing to analyze and separate voice frequencies from noise, the system achieves effective noise cancellation with reduced mechanical complexity and lower computational requirements compared to traditional active noise control systems.
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
The audio device effectively inhibits malfunction of information terminals by ensuring accurate speech recognition and noise cancellation, thereby enhancing user control and operational reliability.
Implementation Method 1
a sound sensor portion (11), and in which the sound sensor portion has a function of sensing first sound
Implementation Method 2
the processing portion has a function of performing, on the third sound, processing for canceling the third sound to generate fourth sound
Data Source
AI summary
An audio device capable of inhibiting malfunction of an information terminal is provided. The audio device includes a sound sensor portion, a sound separation portion, a sound determination portion, and a processing portion. The sound sensor portion has a function of sensing sound. The sound separation portion has a function of separating the sound sensed by the sound sensor portion into a voice and sound other than a voice. The sound determination portion has a function of storing the feature quantity of the sound. The sound determination portion has a function of determining, with a machine learning model such as a neural network model, whether the feature quantity of the voice separated by the sound separation portion is the stored feature quantity. The processing portion has a function of analyzing an instruction contained in the voice and generating an instruction signal representing the content of the instruction in the case where the feature quantity of the voice is the stored feature quantity. The processing portion has a function of performing, on the sound other than a voice separated by the sound separation portion, processing for canceling the sound other than a voice. Specifically, the processing portion has a function of performing, on the sound other than a voice, processing for inverting the phase thereof.