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*).

公开(公告)号：US20210312941A1

公开(公告)日：2021-10-07

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 ,  G06F16/632 ,  G06N3/04 ,  G06N3/08 ,  G10L25/30

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.

公开(公告)号：US10997986B2

公开(公告)日：2021-05-04

申请号：US16575926

申请日：2019-09-19

Applicant: Spotify AB

Inventor： Juan José Bosch Vicente ,  François Pachet ,  Pierre Roy ,  Mathieu Ramona ,  Tristan Jehan

IPC: G10L25/51 ,  G10L25/30 ,  G06N3/08 ,  G06N3/04 ,  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.

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.

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*).

公开(公告)号：US20230223037A1

公开(公告)日：2023-07-13

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

IPC: G10L25/51 ,  G10L25/30 ,  G06N3/04 ,  G06F16/632 ,  G06N3/08

CPC classification number: G10L25/51 ,  G10L25/30 ,  G06N3/04 ,  G06F16/634 ,  G06N3/08

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.

公开(公告)号：US11475867B2

公开(公告)日：2022-10-18

申请号：US16728953

申请日：2019-12-27

Applicant: Spotify AB

Inventor： Juan José Bosch Vicente ,  Youn Jin Kim ,  Peter Milan Thomson Sobot ,  Angus William Sackfield

IPC: G10H1/08 ,  G10H1/00

Abstract: A system, method and computer product for combining audio tracks. In one example embodiment herein, the method comprises determining at least one music track that is musically compatible with a base music track, aligning those tracks in time, and combining the tracks. In one example embodiment herein, the tracks may be music tracks of different songs, the base music track can be an instrumental accompaniment track, and the at least one music track can be a vocal track. Also in one example embodiment herein, the determining is based on musical characteristics associated with at least one of the tracks, such as an acoustic feature vector distance between tracks, a likelihood of at least one track including a vocal component, a tempo, or musical key. Also, determining of musical compatibility can include determining at least one of a vertical musical compatibility or a horizontal musical compatibility among tracks.

公开(公告)号：US20210090590A1

公开(公告)日：2021-03-25

申请号：US16575926

申请日：2019-09-19

Applicant: Spotify AB

Inventor： Juan José Bosch Vicente ,  François Pachet ,  Pierre Roy ,  Mathieu Ramona ,  Tristan Jehan

IPC: G10L25/51 ,  G10L25/30 ,  G06N3/04 ,  G06N3/08 ,  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.