Indoor Acoustic Feature Estimation Without Dedicated Equipment
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Solution Overview
Problem
Existing techniques for acquiring acoustic features of indoor spaces, such as those used in augmented reality devices, require dedicated equipment, making it difficult to easily and efficiently estimate these features for users who move between different rooms.
Innovation Solution
An acoustic feature estimation method that utilizes a user's AR device to acquire data on the indoor space, estimate the situation, correct provisional acoustic feature values based on the estimated situation, and output the corrected values without requiring dedicated equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated equipment such as measuring microphone arrays or measuring speaker arrays is used to acquire acoustic features, then measurement precision is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent uses ordinary smartphones or terminals as proxies for dedicated measuring equipment. These common devices capture audio data that is then processed to estimate acoustic features, effectively creating a functional copy of the measurement capability without requiring specialized hardware. The processor analyzes audio captured by standard microphones to derive acoustic characteristics that would traditionally require dedicated measuring equipment.
Solution Approach 2:
The patent replaces the mechanical/acoustic measurement system (microphone arrays, speaker arrays) with an information processing system. Instead of using physical arrays to measure acoustic features directly, the system uses processors to analyze audio data captured by ordinary devices, substituting computational methods for physical measurement apparatus.
2Measurement precision
If dedicated equipment is used to acquire acoustic features, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The patent makes the acoustic feature measurement capability universal by using ordinary smartphones or terminals that users already possess. Instead of requiring specialized measuring equipment, the system works with common devices that have built-in microphones and processors, making the functionality accessible to general users without additional equipment or training.
Solution Approach 2:
The patent creates a copy of the dedicated equipment's measurement capability using ordinary devices. The smartphone's microphone and processor are utilized to capture and analyze audio data, replicating the function of specialized measuring equipment without requiring the user to acquire or operate complex apparatus.
3Adaptability or versatility
If users move between different rooms, then adaptability is improved, but the difficulty of acquiring acoustic features for each room increases
Solution Approach 1:
The patent enables the system to automatically adapt to different rooms without requiring manual reconfiguration or specialized equipment for each space. When a user moves to a new room, the processor automatically analyzes the audio captured by the smartphone's microphone in that environment and estimates the acoustic features specific to that room, making the system self-adapting rather than requiring external intervention for each new space.
Solution Approach 2:
The patent creates a dynamic system that automatically adjusts to changing environments. The acoustic feature estimation is performed in real-time based on the current room's characteristics, allowing the system to dynamically adapt as users move between different indoor spaces without requiring manual setup or dedicated equipment for each location.
Data Source
AI summary
An acoustic feature estimation method is an acoustic feature estimation method for estimating an acoustic feature of a space and includes acquiring data on the space, estimating situations in the space in accordance with the acquired data, correcting a provisional value of the acoustic feature in accordance with the estimated circumstances, and outputting the corrected provisional value.