公开(公告)号：US20240265901A1

公开(公告)日：2024-08-08

申请号：US18569193

申请日：2022-09-28

Applicant: Lemon Inc.

Inventor： Gianluca MICCHI ,  Katerina KOSTA ,  Gabriele MEDEOT ,  Pierre Nicholas CHANQUION

IPC: G10H1/38

CPC classification number: G10H1/383 ,  G10H2210/571 ,  G10H2250/311

Abstract: A method of characterising chords in a digital music file comprises: receiving a portion of music in a digital format and for a first time interval in the music, a value of a chord feature from a set of chord features is predicted using a conditional Autoregressive Distribution Estimator (ADE). The ADE is modified using the predicted value for the chord feature and the modified ADE is used to predict a value for a different feature of the chord from the set of chord features. These operations are repeated until a value for each of the features in the set of chord features has been predicted for the first time interval. They are then repeated for subsequent time intervals in the portion of music.

公开(公告)号：US20240153474A1

公开(公告)日：2024-05-09

申请号：US17986644

申请日：2022-11-14

Applicant: Lemon Inc.

Inventor： Katerina KOSTA ,  Wei Tsung LU

IPC: G10H1/00

CPC classification number: G10H1/0008 ,  G10H1/0066 ,  G10H2210/061 ,  G10H2210/066 ,  G10H2210/076 ,  G10H2210/081 ,  G10H2250/311

Abstract: The present disclosure describes techniques for melody extraction. The techniques comprise receiving a polyphonic symbolic music file. The polyphonic symbolic music file may comprise a plurality of notes. The polyphonic symbolic music file may be converted to a plurality of feature vectors. Each of the plurality of feature vectors may be a multidimensional vector. Each of the plurality of feature vectors may correspond to a particular note of the plurality of notes. The plurality of feature vectors corresponding to the plurality of notes may be classified using a model that is trained to determine whether each of the plurality of notes belongs to a melody based on the plurality of feature vectors.