公开(公告)号：US20210151069A1

公开(公告)日：2021-05-20

申请号：US17158873

申请日：2021-01-26

申请人： BabbleLabs LLC

发明人： Samer Hijazi ,  Kamil Krzysztof Wojcicki ,  Dror Maydan ,  Christopher Rowen

IPC分类号： G10L21/0364 ,  H04L1/08 ,  H04L1/00 ,  G06N3/08 ,  G10L21/04 ,  G06N3/04 ,  G10L25/30

摘要： 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.

公开(公告)号：US20210144021A1

公开(公告)日：2021-05-13

申请号：US16807743

申请日：2020-03-03

申请人： BabbleLabs LLC

发明人： Raul Alejandro Casas ,  Samer Hijazi ,  Hua Mu ,  Marcin Ciolek ,  Dror Maydan ,  Christopher Rowen ,  Erik Panu

IPC分类号： H04L12/18 ,  H04M9/02 ,  G10L25/78

摘要： 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.

公开(公告)号：US10991379B2

公开(公告)日：2021-04-27

申请号：US16016043

申请日：2018-06-22

申请人： BabbleLabs, LLC

发明人： Samer Hijazi ,  Xuehong Mao ,  Raul Alejandro Casas ,  Kamil Krzysztof Wojcicki ,  Dror Maydan ,  Christopher Rowen

IPC分类号： G10L21/0364 ,  G10L15/22 ,  G10L15/25 ,  G10L17/00 ,  G10L21/055 ,  G10L25/30

摘要： 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.

公开(公告)号：US11502860B2

公开(公告)日：2022-11-15

申请号：US16807743

申请日：2020-03-03

申请人： BabbleLabs LLC

发明人： Raul Alejandro Casas ,  Samer Hijazi ,  Hua Mu ,  Marcin Ciolek ,  Dror Maydan ,  Christopher Rowen ,  Erik Panu

IPC分类号： H04L12/18 ,  G10L25/78 ,  H04M9/02 ,  G06F3/16 ,  H04M3/56

摘要： 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.

公开(公告)号：US20210217436A1

公开(公告)日：2021-07-15

申请号：US17212965

申请日：2021-03-25

申请人： BabbleLabs LLC

发明人： Samer Hijazi ,  Xuehong Mao ,  Raul Alejandro Casas ,  Kamil Krzysztof Wojcicki ,  Dror Maydan ,  Christopher Rowen

IPC分类号： G10L21/0364 ,  G10L15/22 ,  G10L15/25 ,  G10L21/055 ,  G10L25/30 ,  G10L17/00

摘要： 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.