US 12,236,964 B1
Foundational AI model for capturing and encoding audio with artificial intelligence semantic analysis and without low pass or high pass filters
Andrew Denis, Prescott, AZ (US)
Assigned to Seer Global, Inc., New York, NY (US)
Filed by Seer Global, Inc., New York, NY (US)
Filed on Jul. 29, 2024, as Appl. No. 18/787,514.
Claims priority of provisional application 63/541,891, filed on Oct. 1, 2023.
Claims priority of provisional application 63/529,724, filed on Jul. 29, 2023.
Int. Cl. G10L 21/02 (2013.01); G10L 19/00 (2013.01); G10L 19/02 (2013.01); G10L 25/30 (2013.01)
CPC G10L 19/0204 (2013.01) [G10L 19/0017 (2013.01); G10L 25/30 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A method for capturing and encoding audio, comprising:
capturing audio signals across an extended frequency range including frequencies at least one octave below 20 Hz and at least one octave above 20,000 Hz using no in-band low pass or high pass filters;
applying a sequence of analog and digital conversions configured to preserve full spectrum, lossless audio governed by artificial intelligence (AI) that employs ground truth-based semantic analysis against at least one source;
utilizing the AI to analyze and define human perception-based audio requirements; and
encoding the audio signals based on the AI-defined ground truth requirements.