SOUNDHOUND AI IP, LLC (20240276138). MULTI-MODAL AUDIO PROCESSING simplified abstract

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MULTI-MODAL AUDIO PROCESSING

Organization Name

SOUNDHOUND AI IP, LLC

Inventor(s)

Karl Stahl of Palo Alto CA (US)

MULTI-MODAL AUDIO PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240276138 titled 'MULTI-MODAL AUDIO PROCESSING

The method described in the patent application involves processing an audio signal by correlating two audio signals to reduce unwanted sound contributions and determine characteristics of the desired sound.

  • Receiving sound waves at a microphone and converting them into a first audio signal.
  • Extracting a second audio signal from an electromagnetic signal received at a receiver.
  • Correlating the first audio signal with the second audio signal to calculate a correlation value.
  • Processing the first audio signal using the second audio signal to reduce unwanted sound contributions if the correlation value exceeds a threshold.
  • Further processing the processed audio signal to determine a characteristic of the desired sound.

Potential Applications: - Noise cancellation in audio recordings or live performances. - Enhancing audio quality in communication devices. - Improving sound clarity in audio processing systems.

Problems Solved: - Minimizing unwanted sound contributions in audio signals. - Enhancing the quality of audio recordings. - Improving the overall sound experience for users.

Benefits: - Enhanced audio quality. - Reduction of unwanted noise. - Improved sound clarity and accuracy.

Commercial Applications: Title: Advanced Audio Signal Processing Technology for Noise Reduction This technology can be used in: - Audio recording studios. - Communication devices. - Live performance venues. - Consumer electronics products.

Questions about the technology: 1. How does this technology compare to existing noise cancellation methods?

  This technology offers a more advanced and efficient way of reducing unwanted sound contributions in audio signals compared to traditional noise cancellation techniques.

2. What are the potential limitations of this audio signal processing method?

  The effectiveness of this method may depend on the quality of the audio signals and the accuracy of the correlation calculations.


Original Abstract Submitted

a method for processing an audio signal involves receiving sound waves at a microphone, converting them into a first audio signal, and extracting a second audio signal from an electromagnetic signal received at a receiver. the first audio signal is correlated with the second audio signal to calculate a correlation value. if the correlation value exceeds a threshold, the first audio signal is processed using the second audio signal to reduce unwanted sound contributions, resulting in a processed audio signal. further processing is then performed on the processed audio signal to determine a characteristic of the desired sound.