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公开(公告)号:US20200372882A1
公开(公告)日:2020-11-26
申请号:US16802308
申请日:2020-02-26
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy
Abstract: Methods, systems and computer program products are provided for testing a lead sheet for plagiarism. A test lead sheet receiving having a plurality of passages is received at receiving a plagiarism detector. A set of annotations describing a level of plagiarism of a plurality of elements (e.g., chord sequence, subsequences, melodic fragments (i.e., notes), rhythm, harmony, etc.) of the test lead sheet in relation to the preexisting lead sheets are generated and output via an output device.
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公开(公告)号:US12283287B2
公开(公告)日:2025-04-22
申请号:US18090228
申请日:2022-12-28
Applicant: Spotify AB
Inventor: Juan José Bosch Vicente , François Pachet , Pierre Roy , Mathieu Ramona , Tristan Jehan
Abstract: Methods, systems and computer program products are provided for determining acoustic feature vectors of query and target items in a first vector space, and mapping the acoustic feature vectors to a second vector space having a lower dimension. The distribution of vectors in the second vector space can then be used to identify items from the same songs, and/or items that are complementary. A mapping function is trained using a machine learning algorithm, such that complementary audio items are closer in the second vector space than the first, according to a given distance metric.
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公开(公告)号:US11568886B2
公开(公告)日:2023-01-31
申请号:US17202841
申请日:2021-03-16
Applicant: Spotify AB
Inventor: Juan José Bosch Vicente , François Pachet , Pierre Roy , Mathieu Ramona , Tristan Jehan
IPC: G10L25/51 , G06N3/04 , G06N3/08 , G10L25/30 , G06F16/632
Abstract: Methods, systems and computer program products are provided for determining acoustic feature vectors of query and target items in a first vector space, and mapping the acoustic feature vectors to a second vector space having a lower dimension. The distribution of vectors in the second vector space can then be used to identify items from the same songs, and/or items that are complementary. A mapping function is trained using a machine learning algorithm, such that complementary audio items are closer in the second vector space than the first, according to a given distance metric.
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公开(公告)号:US20210090536A1
公开(公告)日:2021-03-25
申请号:US16575889
申请日:2019-09-19
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy , Mathieu Ramona , Tristan Jehan , Juan José Bosch Vicente
IPC: G10H1/00 , G06N20/00 , G06K9/62 , G06F16/635 , G06F16/632
Abstract: Methods, systems and computer program products are provided for identifying an audio stem. Audio stems (t1, . . . , tN) are stored on a stem database and songs (S1, . . . , SP) made with at least a subset of the plurality of the audio stems (t1, . . . , tN) are stored on a song database. At least partially composed song (S*) having a predetermined number of pre-selected stems (k) are received. In turn, a probability vector (or relevance value or ranking) is produced for each stem (t1, . . . , tN) to be complementary to the at least partially composed song (S*).
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公开(公告)号:US11762901B2
公开(公告)日:2023-09-19
申请号:US17722800
申请日:2022-04-18
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy
IPC: G06F3/16 , G06F16/683 , G06N20/00 , G06F17/18 , H04N21/442 , H04N21/24 , G10L19/16
CPC classification number: G06F16/685 , G06F3/165 , G06F17/18 , G06N20/00 , H04N21/44222 , G10L19/167 , H04N21/2407
Abstract: A computing device comprising a display screen, the computing device being configured to decompose a media recording into a plurality of media recording salient events, apply each of the media recording salient events to a reinforcement model, display on the display screen (i) a mapping of the plurality of media recording salient events and (ii) for at least one of the plurality of media recording salient events, at least one selectable next best action, the computing device further configured to replace at least one of the plurality of media recording salient events with at least one selectable next best action to create a derivative media recording including at least one replacement media recording action.
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公开(公告)号:US11676565B2
公开(公告)日:2023-06-13
申请号:US17080654
申请日:2020-10-26
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy
IPC: G10H5/02
CPC classification number: G10H5/02
Abstract: The present disclosure relates to a method of automatically preparing a MIDI file based on a target MIDI file comprising respective note information about each of a plurality of target notes and a source MIDI file comprising respective note information about each of a plurality of source notes. Each note information comprises pitch information defining a pitch of the note. The method comprises ranking the plurality of target notes based on the pitch of each target note. The method also comprises, for each of the ranked target notes, removing the pitch information from the note information of the target note. The method also comprises, for each of the ranked target notes, replacing the removed pitch information with pitch information of a corresponding source note, whereby the target note has the same pitch as the corresponding source note, forming a plurality of new notes of a new MIDI file.
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公开(公告)号:US11593702B2
公开(公告)日:2023-02-28
申请号:US16434668
申请日:2019-06-07
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy
IPC: G06N20/00 , G06F30/20 , G06F111/10
Abstract: A training set for use during content generation is generated by applying a first machine learning process P1 to a first finite sequence s wherein s has a length Ls, to generate a first statistical model M(s). The first statistical model M(s) is sampled using a first sampling process G to generate a second finite sequence t wherein t has a length Lt. A second machine learning process P2 is applied to the second finite sequence t to generate a second statistical model M(t), wherein no substring of the second finite sequence t of length d is identical to a substring of the first finite sequence s, wherein d is a predetermined number of elements in a sequence.
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公开(公告)号:US20220335084A1
公开(公告)日:2022-10-20
申请号:US17722800
申请日:2022-04-18
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy
IPC: G06F16/683 , G06N20/00 , G06F3/16 , G06F17/18
Abstract: A computing device comprising a display screen, the computing device being configured to decompose a media recording into a plurality of media recording salient events, apply each of the media recording salient events to a reinforcement model, display on the display screen (i) a mapping of the plurality of media recording salient events and (ii) for at least one of the plurality of media recording salient events, at least one selectable next best action, the computing device further configured to replace at least one of the plurality of media recording salient events with at least one selectable next best action to create a derivative media recording including at least one replacement media recording action.
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公开(公告)号:US11341184B2
公开(公告)日:2022-05-24
申请号:US16285305
申请日:2019-02-26
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy
Abstract: A computing device comprising a display screen, the computing device being configured to decompose a media recording into a plurality of media recording salient events, apply each of the media recording salient events to a reinforcement model, display on the display screen (i) a mapping of the plurality of media recording salient events and (ii) for at least one of the plurality of media recording salient events, at least one selectable next best action, the computing device further configured to replace at least one of the plurality of media recording salient events with at least one selectable next best action to create a derivative media recording including at least one replacement media recording action.
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公开(公告)号:US11238839B2
公开(公告)日:2022-02-01
申请号:US16575889
申请日:2019-09-19
Applicant: Spotify AB
Inventor: François Pachet , Pierre Roy , Mathieu Ramona , Tristan Jehan , Juan José Bosch Vicente
IPC: G10H1/00 , G06N20/00 , G06F16/635 , G06F16/632 , G06K9/62
Abstract: Methods, systems and computer program products are provided for identifying an audio stem. Audio stems (t1, . . . , tN) are stored on a stem database and songs (S1, . . . , SP) made with at least a subset of the plurality of the audio stems (t1, . . . , tN) are stored on a song database. At least partially composed song (S*) having a predetermined number of pre-selected stems (k) are received. In turn, a probability vector (or relevance value or ranking) is produced for each stem (t1, . . . , tN) to be complementary to the at least partially composed song (S*).
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