Systems and methods for active speaker detection

    公开(公告)号:US11983923B1

    公开(公告)日:2024-05-14

    申请号:US18063107

    申请日:2022-12-08

    Applicant: NETFLIX, INC.

    Abstract: The disclosed computer-implemented method may include receiving, as input, an audio/video data object; isolating a video stream of a visible potential speaker over a plurality of frames of the audio/video data object; isolating an audio stream over the plurality of frames; providing the isolated video stream and the isolated audio stream to a machine learning model trained with contrastive learning, the contrastive learning using (i) a corpus of video segments of visible speakers with corresponding original audio for positive samples; and (ii) a corpus of video segments of visible speakers with corresponding dubbed audio for negative samples; and evaluating a match between the isolated audio stream and the isolated video stream based at least in part on an output of the machine learning model. Various other methods, systems, and computer-readable media are also disclosed.

    SYSTEMS AND METHODS FOR CORRELATING SPEECH AND LIP MOVEMENT

    公开(公告)号:US20210407510A1

    公开(公告)日:2021-12-30

    申请号:US16911247

    申请日:2020-06-24

    Applicant: Netflix, Inc.

    Abstract: The disclosed computer-implemented method includes analyzing, by a speech detection system, a media file to detect lip movement of a speaker who is visually rendered in media content of the media file. The method additionally includes identifying, by the speech detection system, audio content within the media file, and improving accuracy of a temporal correlation of the speech detection system. The method may involve correlating the lip movement of the speaker with the audio content, and determining, based on the correlation between the lip movement of the speaker and the audio content, that the audio content comprises speech from the speaker. The method may further involve recording, based on the determination that the audio content comprises speech from the speaker, the temporal correlation between the speech and the lip movement of the speaker as metadata of the media file. Various other methods, systems, and computer-readable media are disclosed.

    Techniques for generating subtitles for trailers

    公开(公告)号:US10674222B2

    公开(公告)日:2020-06-02

    申请号:US15875989

    申请日:2018-01-19

    Applicant: NETFLIX, INC.

    Abstract: In various embodiments, a subtitle application generates a subtitle list for a trailer. In operation, the subtitle application performs matching operation(s) between trailer audio associated with a trailer and source audio associated with an audiovisual program. The subtitle application then maps a subtitle associated with the source audio from a source timeline associated with the source audio to a trailer timeline associated with the trailer audio to generate a mapped subtitle. Subsequently, the subtitle application generates a trailer subtitle list based on the mapped subtitle and at least one additional mapped subtitle. Because the subtitle application generates the trailer subtitle list based on audio comparisons, the subtitle application ensures that the proper subtitles are included in the trailer subtitle list without requiring a subtitler to view the trailer.

    SYSTEMS AND METHODS FOR CLASSIFYING MUSIC FROM HETEROGENOUS AUDIO SOURCES

    公开(公告)号:US20230409897A1

    公开(公告)日:2023-12-21

    申请号:US17841322

    申请日:2022-06-15

    Applicant: Netflix, Inc.

    Abstract: The disclosed computer-implemented method may include accessing an audio stream with heterogenous audio content; dividing the audio stream into a plurality of frames; generating a plurality of spectrogram patches, each spectrogram patch within the plurality of spectrogram patches being derived from a frame within the plurality of frames; and providing each spectrogram patch within the plurality of spectrogram patches as input to a convolutional neural network classifier and receiving, as output, a classification of music within a corresponding frame from within the plurality of frames. Various other methods, systems, and computer-readable media are also disclosed.

    System and methods for automatically mixing audio for acoustic scenes

    公开(公告)号:US11238888B2

    公开(公告)日:2022-02-01

    申请号:US16732142

    申请日:2019-12-31

    Applicant: Netflix, Inc.

    Abstract: The disclosed computer-implemented method may include obtaining an audio sample from a content source, inputting the obtained audio sample into a trained machine learning model, obtaining the output of the trained machine learning model, wherein the output is a profile of an environment in which the input audio sample was recorded, obtaining an acoustic impulse response corresponding to the profile of the environment in which the input audio sample was recorded, obtaining a second audio sample, processing the obtained acoustic impulse response with the second audio sample, and inserting a result of processing the obtained acoustic impulse response and the second audio sample into an audio track. Various other methods, systems, and computer-readable media are also disclosed.

    SYSTEM AND METHODS FOR AUTOMATICALLY MIXING AUDIO FOR ACOUSTIC SCENES

    公开(公告)号:US20210201931A1

    公开(公告)日:2021-07-01

    申请号:US16732142

    申请日:2019-12-31

    Applicant: Netflix, Inc.

    Abstract: The disclosed computer-implemented method may include obtaining an audio sample from a content source, inputting the obtained audio sample into a trained machine learning model, obtaining the output of the trained machine learning model, wherein the output is a profile of an environment in which the input audio sample was recorded, obtaining an acoustic impulse response corresponding to the profile of the environment in which the input audio sample was recorded, obtaining a second audio sample, processing the obtained acoustic impulse response with the second audio sample, and inserting a result of processing the obtained acoustic impulse response and the second audio sample into an audio track. Various other methods, systems, and computer-readable media are also disclosed.

Patent Agency Ranking