Imaging Audio Float Recording With Dual Gain Signal Paths
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Solution Overview
Problem
Existing imaging devices struggle to capture audio data in a predetermined data format, such as a float format, during moving image shooting, leading to issues like clipping or insufficient volume, and require complex manual adjustments.
Innovation Solution
An imaging apparatus with a digital camera and sound collection apparatus connected via wireless or wired communication, utilizing dual amplification signal processors and a float recording processor to generate audio data in a float format, allowing high dynamic range and accuracy in sound collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dual amplification signal processors are used to capture audio data in float format, then measurement precision and manufacturing precision are improved, but device complexity increases
Solution Approach 1:
The audio signal processing is segmented into two separate amplification paths (first and second signal processors) with different amplification conversions. Each processor handles a specific amplification level, and the audio processor combines their outputs to generate float format audio data. This segmentation allows high precision audio capture without requiring a single overly complex processor.
Solution Approach 2:
The imaging apparatus integrates multiple functions into a unified system: the image sensor captures visual data, while the dual signal processors and audio processor handle audio data in float format. The receiver further extends functionality by accepting external audio signals. This multi-functional integration achieves high measurement precision without proportionally increasing overall device complexity.
2Adaptability or versatility
If manual adjustments are required for audio recording, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic float format conversion through the audio processor that combines outputs from two amplification paths. The apparatus self-adjusts the amplification conversions and data format transformation without requiring manual intervention. Users simply operate the recording function, and the system automatically generates audio data in the desired float format, maintaining both adaptability and ease of operation.
3Manufacturing precision
If float format recording is implemented, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary amplification conversions in the first and second signal processors before the final combination in the audio processor. By pre-processing the audio signals with different amplification levels and then combining them, the system achieves float format precision without requiring the entire processing chain to be designed for float format from the start, thereby managing complexity more effectively.
Data Source
AI summary
An imaging apparatus includes: an image sensor; a sound input interface that inputs a first input sound; a first signal processor that performs first amplification conversion on the first input sound to generate a first audio signal; a second signal processor that performs second amplification conversion on the first input sound to generate a second audio signal; an audio processor that combines the first and second audio signals to generate first audio data in a predetermined data format; and a receiver that connects with an external sound collection apparatus for communication to receive third and fourth audio signals therefrom. The third and fourth audio signals respectively indicate results of third and fourth amplification conversion performed on second input sound in the sound collection apparatus. The audio processor combines the third and fourth audio signals received from the receiver to generate second audio data in the predetermined data format.