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公开(公告)号:US20240127855A1
公开(公告)日:2024-04-18
申请号:US17967697
申请日:2022-10-17
Applicant: Adobe Inc.
CPC classification number: G11B27/02 , G06V20/46 , G06V20/48 , G06V20/49 , G06V40/172 , G06V40/176
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for selection of the best image of a particular speaker's face in a video, and visualization in a diarized transcript. In an example embodiment, candidate images of a face of a detected speaker are extracted from frames of a video identified by a detected face track for the face, and a representative image of the detected speaker's face is selected from the candidate images based on image quality, facial emotion (e.g., using an emotion classifier that generates a happiness score), a size factor (e.g., favoring larger images), and/or penalizing images that appear towards the beginning or end of a face track. As such, each segment of the transcript is presented with the representative image of the speaker who spoke that segment and/or input is accepted changing the representative image associated with each speaker.
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公开(公告)号:US20240127820A1
公开(公告)日:2024-04-18
申请号:US17967502
申请日:2022-10-17
Applicant: Adobe Inc.
Inventor: Justin Jonathan SALAMON , Fabian David CABA HEILBRON , Xue BAI , Aseem Omprakash AGARWALA , Hijung SHIN , Lubomira Assenova DONTCHEVA
IPC: G10L15/26 , G11B27/031
CPC classification number: G10L15/26 , G11B27/031
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for music-aware speaker diarization. In an example embodiment, one or more audio classifiers detect speech and music independently of each other, which facilitates detecting regions in an audio track that contain music but do not contain speech. These music-only regions are compared to the transcript, and any transcription and speakers that overlap in time with the music-only regions are removed from the transcript. In some embodiments, rather than having the transcript display the text from this detected music, a visual representation of the audio waveform is included in the corresponding regions of the transcript.
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公开(公告)号:US20240135973A1
公开(公告)日:2024-04-25
申请号:US17967364
申请日:2022-10-17
Applicant: Adobe Inc.
Inventor: Xue BAI , Justin Jonathan SALAMON , Aseem Omprakash AGARWALA , Hijung SHIN , Haoran CAI , Joel Richard BRANDT , Lubomira Assenova DONTCHEVA , Cristin Ailidh Fraser
IPC: G11B27/036 , G06F40/166 , G10L15/26 , G10L25/57 , G11B27/34
CPC classification number: G11B27/036 , G06F40/166 , G10L15/26 , G10L25/57 , G11B27/34 , G06F3/0482
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for identifying candidate boundaries for video segments, video segment selection using those boundaries, and text-based video editing of video segments selected via transcript interactions. In an example implementation, boundaries of detected sentences and words are extracted from a transcript, the boundaries are retimed into an adjacent speech gap to a location where voice or audio activity is a minimum, and the resulting boundaries are stored as candidate boundaries for video segments. As such, a transcript interface presents the transcript, interprets input selecting transcript text as an instruction to select a video segment with corresponding boundaries selected from the candidate boundaries, and interprets commands that are traditionally thought of as text-based operations (e.g., cut, copy, paste) as an instruction to perform a corresponding video editing operation using the selected video segment.
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公开(公告)号:US20240127857A1
公开(公告)日:2024-04-18
申请号:US17967399
申请日:2022-10-17
Applicant: Adobe Inc.
Inventor: Fabian David CABA HEILBRON , Xue BAI , Aseem Omprakash AGARWALA , Haoran CAI , Lubomira Assenova DONTCHEVA
IPC: G11B27/031 , G06V20/40
CPC classification number: G11B27/031 , G06V20/41
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for face-aware speaker diarization. In an example embodiment, an audio-only speaker diarization technique is applied to generate an audio-only speaker diarization of a video, an audio-visual speaker diarization technique is applied to generate a face-aware speaker diarization of the video, and the audio-only speaker diarization is refined using the face-aware speaker diarization to generate a hybrid speaker diarization that links detected faces to detected voices. In some embodiments, to accommodate videos with small faces that appear pixelated, a cropped image of any given face is extracted from each frame of the video, and the size of the cropped image is used to select a corresponding active speaker detection model to predict an active speaker score for the face in the cropped image.
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