Abstract: Systems and methods are disclosed for data driven radio enhancement. For example, methods may include demodulating a radio signal to obtain a demodulated audio signal; determining a window of audio samples based on the demodulated audio signal; applying an audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the audio enhancement network includes a machine learning network that has been trained using demodulated audio signals derived from radio signals; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.
Type:
Grant
Filed:
January 26, 2021
Date of Patent:
May 23, 2023
Assignee:
BabbleLabs LLC
Inventors:
Samer Hijazi, Kamil Krzysztof Wojcicki, Dror Maydan, Christopher Rowen
Abstract: Systems and methods are disclosed for audio group identification for conferencing. For example, methods may include joining a conference call using a network interface; accessing an audio signal that has been captured using a microphone; detecting a control signal in the audio signal; and, responsive to detection of the control signal, invoking modification of an audio path of the conference call.
Type:
Grant
Filed:
March 3, 2020
Date of Patent:
November 15, 2022
Assignee:
BabbleLabs LLC
Inventors:
Raul Alejandro Casas, Samer Hijazi, Hua Mu, Marcin Ciolek, Dror Maydan, Christopher Rowen, Erik Panu
Abstract: Systems and methods are disclosed for audio enhancement. For example, methods may include accessing audio data; determining a window of audio samples based on the audio data; inputting the window of audio samples to a classifier to obtain a classification, in which the classifier includes a neural network and the classification takes a value from a set of multiple classes of audio; selecting, based on the classification, an audio enhancement network from a set of multiple audio enhancement networks; applying the selected audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the selected audio enhancement network includes a neural network that has been trained using audio signals of a type associated with the classification; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.
Type:
Grant
Filed:
June 22, 2018
Date of Patent:
April 27, 2021
Assignee:
BabbleLabs LLC
Inventors:
Samer Hijazi, Xuehong Mao, Raul Alejandro Casas, Kamil Krzysztof Wojcicki, Dror Maydan, Christopher Rowen
Abstract: Systems and methods are disclosed for data driven radio enhancement. For example, methods may include demodulating a radio signal to obtain a demodulated audio signal; determining a window of audio samples based on the demodulated audio signal; applying an audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the audio enhancement network includes a machine learning network that has been trained using demodulated audio signals derived from radio signals; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.
Type:
Grant
Filed:
September 4, 2018
Date of Patent:
March 2, 2021
Assignee:
BabbleLabs LLC
Inventors:
Samer Hijazi, Kamil Krzysztof Wojcicki, Dror Maydan, Christopher Rowen