Toyota jidosha kabushiki kaisha (20240096145). NOISE GENERATION CAUSE IDENTIFYING METHOD AND NOISE GENERATION CAUSE IDENTIFYING DEVICE simplified abstract
Contents
- 1 NOISE GENERATION CAUSE IDENTIFYING METHOD AND NOISE GENERATION CAUSE IDENTIFYING DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 NOISE GENERATION CAUSE IDENTIFYING METHOD AND NOISE GENERATION CAUSE IDENTIFYING DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
NOISE GENERATION CAUSE IDENTIFYING METHOD AND NOISE GENERATION CAUSE IDENTIFYING DEVICE
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Shinichi Takeuchi of Nisshin-shi (JP)
Atsushi Tabata of Okazaki-shi (JP)
Mitsuo Okubo of Okazaki-shi (JP)
Shingo Noritake of Owariasahi-shi (JP)
Akira Murakami of Kasugai-shi (JP)
Ryo Yanagawa of Nagoya-shi (JP)
NOISE GENERATION CAUSE IDENTIFYING METHOD AND NOISE GENERATION CAUSE IDENTIFYING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096145 titled 'NOISE GENERATION CAUSE IDENTIFYING METHOD AND NOISE GENERATION CAUSE IDENTIFYING DEVICE
Simplified Explanation
The patent application describes a method and device for identifying the cause of noise generation. The process involves correcting a sound signal, obtaining variables from the corrected signal, and identifying the noise generation cause using these variables.
- Response correcting process: Corrects a sound signal to match the frequency response of a learning sound signal.
- Variable obtaining process: Obtains variables from the corrected sound signal by inputting it into a map.
- Cause identifying process: Identifies the generation cause of a sound picked up by a microphone using the variables obtained.
Potential Applications
This technology could be applied in various industries such as automotive, aerospace, and consumer electronics for noise reduction and quality control purposes.
Problems Solved
1. Efficient identification of noise generation causes. 2. Improved accuracy in noise reduction processes.
Benefits
1. Enhanced sound quality. 2. Increased efficiency in noise reduction. 3. Cost-effective solution for identifying noise sources.
Potential Commercial Applications
Optimizing Sound Quality in Automotive Systems
Possible Prior Art
One possible prior art could be noise cancellation algorithms used in audio processing systems.
Unanswered Questions
How does the device handle complex noise environments?
The patent application does not provide details on how the device distinguishes between multiple noise sources in complex environments.
What is the computational overhead of the process?
The application does not mention the computational resources required to implement the noise generation cause identifying method.
Original Abstract Submitted
a noise generation cause identifying method and a noise generation cause identifying device are provided. a response correcting process corrects a sound signal obtained through a sound signal obtaining process based on obtained model information so that a frequency response of the obtained sound signal approaches a frequency response of a learning sound signal. a variable obtaining process obtains a variable output from a map by inputting the corrected sound signal to the map. a cause identifying process identifies a generation cause of a sound picked up by a microphone using the variable obtained through the variable obtaining process.
