Mobile Audio Calibration for Device and Ambient Noise Variations
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Solution Overview
Problem
Users face poor audio quality due to low-quality audio data, devices, and ambient noise, which can vary significantly depending on the environment and device configuration.
Innovation Solution
A method and system using a mobile device to detect quality parameters, process audio signals, calibrate rendering devices, and compensate for ambient noise by employing digital signal processing algorithms for equalization, loudness correction, and timing synchronization, thereby enhancing audio quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If audio data is stored in compressed formats (MP3) or received over Internet, then storage efficiency and transmission speed are improved, but audio quality deteriorates
Solution Approach 1:
The mobile device acts as an intermediary between the audio source and the rendering device. It receives audio data, processes it through quality enhancement algorithms, and outputs improved audio to the rendering device, thereby mediating the quality loss that occurs during compression and transmission
Solution Approach 2:
The system changes the quality parameters of the audio signal by applying digital signal processing techniques including equalization, noise reduction, and dynamic range compression to enhance the perceived audio quality without requiring higher bitrate source material
2Adaptability or versatility
If rendering devices use different components, then device versatility is improved, but audio quality deteriorates due to component mismatch
Solution Approach 1:
The system applies local quality enhancement by analyzing the specific characteristics of each rendering device and applying tailored processing parameters. The mobile device measures the actual output of the rendering device and applies compensatory filters specifically designed for that device's component characteristics
Solution Approach 2:
The system uses feedback from the rendering device's actual audio output to adjust processing parameters. The mobile device captures the rendered audio through its microphone, analyzes the frequency response and timing characteristics, and uses this feedback to optimize the equalization and synchronization parameters for that specific device
3Adaptability or versatility
If ambient noise level increases, then adaptability to different environments is improved, but audible audio quality deteriorates
Solution Approach 1:
The system dynamically adjusts audio processing parameters based on the ambient environment. The mobile device continuously monitors the acoustic environment and adjusts equalization curves, noise reduction strength, and volume levels in real-time to maintain optimal audio quality across varying ambient conditions
Solution Approach 2:
The system converts the harmful effect of ambient noise into beneficial information by using the noise characteristics to adaptively adjust processing parameters. The noise profile detected in the environment is used to enhance relevant frequency ranges and adjust timing synchronization to compensate for acoustic conditions
Data Source
AI summary
Embodiment disclosed herein enable detection and improvement of the quality of the audio signal using a mobile device by determining the loss in the audio signal and enhancing audio by streaming the remainder portion of audio. Embodiments disclosed herein enable an improvement in the sound quality rendered by rendering devices by emitting an test audio signal from the source device, measuring the test audio signal using microphones, detecting variation in the frequency response, loudness and timing characteristics using impulse responses and correcting for them. Embodiments disclosed herein also compensate for the noise in the acoustic space by determining the reverberation and ambient noise levels and their frequency characteristics and changing the digital filters and volumes of the source signal to compensate for the varying noise levels.