Digital Audio Filter Generation via Deconvolution
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Solution Overview
Problem
Conventional methods for creating impulse response filters are inconvenient, often sound artificial, and require high bandwidth and computing resources, limiting their availability and usability, especially for consumers who lack access to studios and high-quality microphones.
Innovation Solution
A signal processing system that distributes signal capture and processing tasks between a mobile device and a signal capture device, using a mobile device to generate a digital audio filter by combining audio signals from an instrument pickup and a microphone, applying mathematical operations like deconvolution to produce an impulse response filter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to create impulse response filters, then high-quality sound emulation is achieved, but the system requires high bandwidth, expensive studio equipment, and significant computing resources
Solution Approach 1:
The system divides the impulse response filter creation process into two independent parts: capturing the instrument's acoustic sound with a mobile device microphone and capturing the pickup signal separately. This segmentation allows each component to be handled by inexpensive, readily available devices rather than requiring a single complex studio setup.
Solution Approach 2:
The system creates a digital copy of the acoustic sound field by recording it with a mobile device microphone, then uses mathematical operations (deconvolution) to extract the instrument's acoustic characteristics. This digital copy can then be applied to pickup signals without needing the actual physical acoustic environment or expensive studio microphones.
2Measurement precision
If conventional impulse response filter methods are used, then accurate sound capture is achieved, but the process is inconvenient and time-consuming
Solution Approach 1:
The system performs preliminary actions by having the user play the instrument normally while the mobile device records the acoustic sound. The deconvolution process is then automatically performed to extract the impulse response characteristics, eliminating the need for complex manual measurement procedures or specialized studio techniques.
Solution Approach 2:
The mobile device's built-in microphone and processing capabilities enable the user to create their own impulse response filter without requiring access to professional studio equipment or expertise. The system serves itself by automatically capturing, processing, and generating the filter based on simple user input.
3Measurement precision
If studio equipment and expertise are required for impulse response filter creation, then high-quality results are achieved, but accessibility for consumers is limited
Solution Approach 1:
The system makes impulse response filter creation universal by using a mobile device's existing microphone and processing capabilities, which are already present in billions of devices. This eliminates the need for consumers to purchase or access expensive studio equipment, making the technology widely available and adaptable to different users and instruments.
Data Source
AI summary
Systems and methods for creating a digital audio filter, such as an impulse response filter, using a pickup audio signal provided to an instrument signal capture device and a microphone signal provided to a mobile device are disclosed. In one embodiment, a method includes capturing a first audio signal using a signal capture device, performing frequency analysis on the digitized first audio signal to generate a frequency response spectrum representation, transmitting the frequency response spectrum representation of the first audio signal from the signal capture device to a mobile device, capturing a second audio signal using a microphone on the mobile device, performing frequency analysis on the at least one digitized second audio signal using the mobile device to generate a frequency response spectrum representation, and generating a digital audio filter from the frequency response spectrum representations of the first audio signal and the second audio signal.