US 2018/0322854 A1 · Automated Melody Generation for Songwriting

Abstract

The subject disclosure relates to automated songwriting. In some aspects, a process of the disclosed technology can include steps for training a melody prediction model for selecting melodies for lyrics using a corpus of songs, the melody prediction model including modeled melody features and corresponding modeled patterns of lyric features, receiving lyric input of lyrics including a pattern of lyric features from a user, applying the melody prediction model to the lyric input to automatically generate one or more melodies for the lyric input by matching the pattern of lyric features in the lyric input to a first subset of the modeled melody features using the corresponding modeled patterns of lyric features of the modeled melody features, and providing the one or more melodies to the user to generate a song using the lyrics.

Claims20

Dependent claims

A system for providing automated songwriting, the system comprising:

one or more processors;
and
a non-transitory memory coupled to the one or more processors, the memory comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising:
training a melody prediction model for selecting melodies for lyrics using a corpus of songs, the melody prediction model including modeled melody features and corresponding modeled lyric features;
receiving lyric input of lyrics including lyric features from a user;
applying the melody prediction model to the lyric input to automatically generate one or more melodies for the lyric input by generating probability distributions of melody features based on the lyric features in the lyrics input using the melody prediction model and selecting melody features from the probability distributions of melody features to form the one or more melodies;
and
providing the one or more melodies to the user to generate a song using the lyrics.

5 more elements

A method for providing automated songwriting, the method comprising:

training a melody prediction model for selecting melodies for lyrics using a corpus of songs, the melody prediction model including modeled melody features and corresponding modeled lyric features;
receiving lyric input of lyrics including lyric features from a user;
applying the melody prediction model to the lyric input to automatically generate one or more melodies for the lyric input by generating probability distributions of melody features based on the lyric features in the lyrics input using the melody prediction model and selecting melody features from the probability distributions of melody features to form the one or more melodies;
and
providing the one or more melodies to the user to generate a song using the lyrics.

2 more elements

A non-transitory computer-readable storage medium, having embodied thereon a program executable by one or more processors to perform operations comprising:

training a melody prediction model for selecting melodies for lyrics using a corpus of songs, the melody prediction model including modeled melody features and corresponding modeled lyric features;
receiving lyric input of lyrics including lyric features from a user;
applying the melody prediction model to the lyric input to automatically generate one or more melodies for the lyric input by generating probability distributions of melody features based on the lyric features in the lyrics input using the melody prediction model and selecting melody features from the probability distributions of melody features to form the one or more melodies;
and
providing the one or more melodies to the user to generate a song using the lyrics.

2 more elements

Dependencies are inferred from the claim text.

Automated Melody Generation for Songwriting

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Automated Melody Generation for Songwriting

Life of this patent

Abstract

Claims20