25-03-2021 дата публикации
Номер: US20210090536A1
Methods, systems and computer program products are provided for identifying an audio stem. Audio stems (t, . . . , t) are stored on a stem database and songs (S, . . . , S) made with at least a subset of the plurality of the audio stems (t, . . . , t) 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 (t, . . . , t) to be complementary to the at least partially composed song (S*). 1. A method for identifying an audio stem , comprising the steps of:{'sub': 1', 'N, 'storing, on a stem database, a plurality of audio stems (t, . . . , t);'}{'sub': 1', 'P', '1', 'N, 'storing, on a song database, a plurality of songs (S, . . . , S) made with at least a subset of the plurality of the audio stems (t, . . . , t);'}receiving an at least partially composed song (S*) having a predetermined number of pre-selected stems (k); and{'sub': 1', 'N, 'producing a probability vector (or relevance value or ranking) for each stem (t, . . . , t) to be complementary to the at least partially composed song (S*).'}2. The method according to claim 1 , further comprising the steps of:predicting, using a trained machine learning model, at least one stem from the stem database having a probability value above a predetermined threshold, thereby defining the at least one stem as being complementary to the predetermined number of preselected stems(k).3. The method according to claim 2 , further comprising the steps of:training, using a machine learning processor, the machine learning model based on any one of (i) a measure of success of a stem, (ii) a rank order of sociometric status values corresponding to a plurality of songs including at least the stem, (iii) a plurality of stems obtained from plural songs, or any combination of (i), (ii) and (iii).4. The method according to claim 1 , wherein:{'sub': 1', 'N, 'claim-text': ...
Подробнее