Spectrogram Audio Reconstruction for Wireless Dropouts
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Solution Overview
Problem
Wireless audio devices experience audio drops and signal loss when moving away from the source due to weak wireless signals, leading to incomplete audio data transmission.
Innovation Solution
The method involves converting audio to a spectrogram using a neural network model, separating vocals and music components, and transmitting these components along with audio data, allowing the receiver to generate audio from the spectrogram when signal strength is weak.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If audio data is transmitted directly over weak wireless signals, then audio information is preserved, but signal loss and audio drops occur
Solution Approach 1:
The patent creates a spectrogram copy of the audio signal that captures the essential frequency and temporal characteristics. This spectrogram representation is then transmitted instead of the original audio data, allowing the receiver to reconstruct audio that is perceptually equivalent while being more resilient to signal degradation.
Solution Approach 2:
The patent transforms the audio signal from the time domain to the frequency-time domain by converting it into a spectrogram. This parameter transformation changes how the audio information is represented, making it more compact and more resistant to wireless signal degradation while preserving the essential auditory characteristics.
2Manufacturing precision
If full audio data is transmitted to maintain quality, then audio quality is preserved, but bandwidth consumption increases
Solution Approach 1:
The patent transmits a spectrogram copy rather than the original audio waveform. This spectrogram representation captures the essential frequency content and temporal structure of the audio in a more compact form, reducing the bandwidth required for transmission while maintaining perceptual audio quality at the receiver.
Solution Approach 2:
The patent extracts the essential spectral characteristics from the full audio signal and transmits only these extracted features in spectrogram form. This extraction process removes redundant information while retaining the core audio quality attributes, thereby reducing bandwidth consumption.
3Device complexity
If conventional audio transmission is used, then simplicity is maintained, but audio drops occur in weak signal conditions
Solution Approach 1:
The patent implements a spectrogram copying mechanism that transforms the audio signal into a more robust representation for wireless transmission. This approach maintains relative simplicity in the transmission system while significantly improving audio continuity in weak signal conditions by using the spectrogram's frequency-time representation.
4Quantity of substance
If spectrogram is transmitted instead of audio, then bandwidth is reduced, but audio reconstruction complexity increases
Solution Approach 1:
The patent transmits a spectrogram copy that serves as a compressed representation of the audio signal. The receiver uses this spectrogram to reconstruct the audio, which involves inverse transformation processes. This approach reduces bandwidth consumption while managing reconstruction complexity through established spectrogram-to-audio conversion techniques.
Data Source
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AI summary
Various embodiments herein provide a method for managing an audio based on a spectrogram. The method includes generating, by a transmitter device, the spectrogram of the audio. The method includes identifying a first spectrogram corresponding to vocals in the audio and a second spectrogram corresponding to music in the audio from the spectrogram of the audio, and extracting a music feature from the second spectrogram. The method includes transmitting a signal comprising the first spectrogram, the second spectrogram, the music feature and the audio to a receiver device. The method includes determining, by the receiver device, whether an audio drop is occurring in the received signal based on a parameter associated with the received signal. The method includes generating the audio using the first spectrogram, the second spectrogram, the music feature, in response to determining that the audio drop is occurring in the received signal.