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    SYSTEM AND METHODS FOR AUTOMATICALLY MIXING AUDIO FOR ACOUSTIC SCENES
    13.
    发明申请
    SYSTEM AND METHODS FOR AUTOMATICALLY MIXING AUDIO FOR ACOUSTIC SCENES 有权

    公开(公告)号：US20220115030A1

    公开(公告)日：2022-04-14

    申请号：US17555175

    申请日：2021-12-17

    Applicant: Netflix, Inc.

    Inventor： Yadong Wang ,  Shilpa Jois Rao ,  Murthy Parthasarathi ,  Kyle Tacke

    IPC: G10L25/51 ,  G10L15/00 ,  G10L15/22 ,  G10L25/81 ,  G10L25/84

    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.

    SYSTEMS AND METHODS FOR PHONEME AND VISEME RECOGNITION
    14.
    发明申请
    SYSTEMS AND METHODS FOR PHONEME AND VISEME RECOGNITION 有权

    公开(公告)号：US20210390949A1

    公开(公告)日：2021-12-16

    申请号：US16903373

    申请日：2020-06-16

    Applicant: Netflix, Inc.

    Inventor： Yadong Wang ,  Shilpa Jois Rao ,  Murthy Parthasarathi

    IPC: G10L15/08 ,  G10L15/04 ,  G10L15/02 ,  G10L21/0232 ,  G06N20/00

    Abstract: The disclosed computer-implemented method may include training a machine-learning algorithm to use look-ahead to improve effectiveness of identifying visemes corresponding to audio signals by, for one or more audio segments in a set of training audio signals, evaluating an audio segment, where the audio segment includes at least a portion of a phoneme, and a subsequent segment that includes contextual audio that comes after the audio segment and potentially contains context about a viseme that maps to the phoneme. The method may also include using the trained machine-learning algorithm to identify one or more probable visemes corresponding to speech in a target audio signal. Additionally, the method may include recording, as metadata of the target audio signal, where a probable viseme occurs within the target audio signal. Various other methods, systems, and computer-readable media are also disclosed.

    Systems and methods for correlating speech and lip movement
    15.
    发明授权
    Systems and methods for correlating speech and lip movement 有权

    公开(公告)号：US12266361B2

    公开(公告)日：2025-04-01

    申请号：US16911247

    申请日：2020-06-24

    Applicant: Netflix, Inc.

    Inventor： Yadong Wang ,  Shilpa Jois Rao

    IPC: G10L15/25 ,  G10L25/78

    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.

    AUTOMATED WORKFLOWS FROM MEDIA ASSET DIFFERENTIALS
    16.
    发明申请
    AUTOMATED WORKFLOWS FROM MEDIA ASSET DIFFERENTIALS 有权

    公开(公告)号：US20220021911A1

    公开(公告)日：2022-01-20

    申请号：US17245252

    申请日：2021-04-30

    Applicant: Netflix, Inc.

    Inventor： Yadong Wang ,  Chih-Wei Wu ,  Kyle Tacke ,  Shilpa Jois Rao ,  Boney Sekh ,  Andrew Swan ,  Raja Ranjan Senapati

    IPC: H04N21/2343 ,  H04N21/234 ,  G06Q10/06

    Abstract: The disclosed computer-implemented method may include (1) accessing a first media data object and a different, second media data object that, when played back, each render temporally sequenced content, (2) comparing first temporally sequenced content represented by the first media data object with second temporally sequenced content represented by the second media data object to identify a set of common temporal subsequences between the first media data object and the second media data object, (3) identifying a set of edits relative to the set of common temporal subsequences that describe a difference between the temporally sequenced content of the first media data object and the temporally sequenced content of the second media data object, and (4) executing a workflow relating to the first media data object and/or the second media data object based on the set of edits. Various other methods, systems, and computer-readable media are also disclosed.

    SYSTEMS AND METHODS FOR MIXING SYNTHETIC VOICE WITH ORIGINAL AUDIO TRACKS
    17.
    发明申请
    SYSTEMS AND METHODS FOR MIXING SYNTHETIC VOICE WITH ORIGINAL AUDIO TRACKS 有权

    公开(公告)号：US20210151082A1

    公开(公告)日：2021-05-20

    申请号：US16747314

    申请日：2020-01-20

    Applicant: Netflix, Inc.

    Inventor： Yadong Wang ,  Murthy Parthasarathi ,  Andrew Swan ,  Raja Ranjan Senapati ,  Shilpa Jois Rao ,  Anjali Chablani ,  Kyle Tacke

    IPC: G11B27/036 ,  G11B27/034 ,  H04N21/84 ,  H04N21/81 ,  H04N21/485 ,  G10L13/04 ,  G10L13/08

    Abstract: The disclosed computer-implemented method may include accessing an audio track that is associated with a video recording, identifying a section of the accessed audio track having a specific audio characteristic, reducing a volume level of the audio track in the identified section, accessing an audio segment that includes a synthesized voice and inserting the accessed audio segment into the identified section of the audio track, where the inserted segment has a higher volume level than the reduced volume level of the audio track in the identified section. The synthesized voice description can be used to provide additional information to a visually impaired viewer without interrupting the audio track that is associated with the video recording, typically by inserting the synthesized voice description into a segment of the audio track in which there is no dialog. Various other methods, systems, and computer-readable media are also disclosed.

    Detecting errors in the timing between subtitles and shot changes
    18.
    发明授权
    Detecting errors in the timing between subtitles and shot changes 有权

    公开(公告)号：US10798271B2

    公开(公告)日：2020-10-06

    申请号：US15863772

    申请日：2018-01-05

    Applicant: NETFLIX, INC.

    Inventor： Murthy Parthasarathi ,  Andrew Swan ,  Yadong Wang ,  Thomas E. Mack

    IPC: H04N5/14 ,  H04N9/82 ,  H04N21/234 ,  H04N21/242 ,  H04N5/445 ,  H04N21/44 ,  H04N9/89 ,  H04N21/43 ,  H04N21/488

    Abstract: In various embodiments, a subtitle timing application detects timing errors between subtitles and shot changes. In operation, the subtitle timing application determines that a temporal edge associated with a subtitle does not satisfy a timing guideline based on a shot change. The shot change occurs within a sequence of frames of an audiovisual program. The subtitle timing application then determines a new temporal edge that satisfies the timing guideline relative to the shot change. Subsequently, the subtitle timing application causes a modification to a temporal location of the subtitle within the sequence of frames based on the new temporal edge. Advantageously, the modification to the subtitle improves a quality of a viewing experience for a viewer. Notably, by automatically detecting timing errors, the subtitle timing application facilitates proper and efficient re-scheduling of subtitles that are not optimally timed with shot changes.

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