A system that may generate lyrics for reside instrumental music

Overview of the LyricJam mannequin. In Stage 1, the researchers educated a spectrogram variational autoencoder (VAE) to be taught audio representations. In Stage 2, they educated a conditional VAE (CVAE) to be taught the representations of lyrics conditioned on their corresponding audio clips. Lastly, in Stage 3, an alignment mannequin based mostly on generative adversarial community (GAN) was educated to align lyrics and audio representations. At inference time, a music audio clip recorded in real-time is transformed right into a spectrogram, which the mannequin makes use of to generate new lyrics matching the music. Credit score: Vechtomova, Sahu & Kumar.

Over the previous few a long time, laptop scientists have developed computational instruments that may generate particular sorts of information, resembling photos, phrases or audio recordings. These methods may have quite a lot of worthwhile purposes, significantly in inventive fields that entail the manufacturing of latest and distinctive artworks.

Researchers at College of Waterloo have just lately developed LyricJam, a complicated computational system that may generate lyrics for reside instrumental music. This method, offered in a paper set to be offered on the Worldwide Convention on Computational Creativity and pre-published on arXiv, may assist artists to compose new lyrics that match nicely with the music they create.

“I’ve all the time had a deep love of music and an curiosity in studying concerning the inventive processes behind a few of my favourite songs,” Olga Vechtomova, one of many researchers who carried out the examine, instructed TechXplore. “This drew me to do analysis on music and lyrics and the way machine studying could possibly be used to design instruments that may encourage music artists.”

Vechtomova and her colleagues have been conducting analysis specializing in lyric era for a number of years now. Initially, they developed a system that may be taught particular options or features of an artist’s lyrical model, by analyzing audio recordings of their songs and lyrics they composed prior to now. This method then makes use of the knowledge gathered in its analyses to generate lyrics which can be aligned with the model of a selected artist.

Extra just lately, the researchers additionally began investigating the opportunity of producing lyrics for audio clips of recorded instrumental music. Of their new examine, they tried to take this a step ahead, by creating a system that may generate appropriate lyrics for reside music.

“The aim of this analysis was to design a system that may generate lyrics reflecting the temper and feelings expressed by way of varied features of music, resembling chords, devices, tempo, and so forth.,” Vechtomova stated. “We got down to create a device that musicians may use to get inspiration for their very own tune writing.”

Basically, Vechtomova and her colleagues got down to create a system that would course of uncooked reside music performed by a person musician or a band and generate lyrics that match the feelings expressed by the music. The artists would then have the ability to assessment these generated lyrics and draw inspiration from them or adapt them, thus discovering new fascinating themes or lyric concepts that they’d not thought of earlier than.

“The situation we envisioned is of an AI system that acts as a co-creative companion with a musician,” Vechtomova defined. “From a consumer’s perspective the LyricJam app may be very easy: a music artist performs reside music and the system shows lyric strains that it generates in actual time in response to the music it hears. The generated strains are saved all through the session, in order that the artist can take a look at them after they end enjoying.”

LyricJam: A system that can generate lyrics for live instrumental music
Examples of lyrics generated by LyricJam for various kinds of instrumental music. The audio clips are represented as spectrograms that seize varied music traits. Throughout coaching, the mannequin learns to affiliate lyrical themes, phrases and expressions with varied features of music, resembling rhythm, instrumentation and harmonies. As soon as educated, the system devised by the researchers can generate new lyrics that mirror the feelings conveyed by the artist by way of their music. Credit score: Vechtomova, Sahu & Kumar

The system created by the researchers works by changing uncooked audio information into spectrograms after which utilizing deep studying fashions to generate lyrics that match the music they processed in actual time. The mannequin’s structure is comprised of two variational autoencoders, one designed to be taught representations of music audio and the opposite to be taught lyrics.

Vechtomova and her colleagues then designed two new mechanisms that align the representations of music and lyrics processed by the 2 autoencoders. In the end, these mechanisms enable their system to be taught which sorts of lyrics go nicely with a selected instrumental music.

“We let the machine be taught these associations from the information in an unsupervised method,” Vechtomova stated. “Consequently, the machine learns the lyrical themes, phrases and expressions which can be related to various kinds of music. As an example, we noticed that lyrics generated for calm and ambient music are very totally different than these generated for extra aggressive sounding music.”

The principle attribute that units LyricJam other than different lyric era methods developed prior to now is that it will probably create appropriate lyrics in actual time, as an artist is enjoying reside music. Musicians and different customers thinking about making an attempt the system can entry a reside model at https://lyricjam.ai.

“I need to spotlight that the core motivation for this analysis is to not write a tune for the artist, however to encourage the artist’s personal creativity by suggesting contemporary new concepts and expressions that the system generated by listening to their music,” Vechtomova stated. “We do not need to make the lyric writing course of simpler or quicker. As a substitute, we need to make it extra fulfiling, serving to artists to get into the inventive circulate and notice their very own creativity by collaborating with the system.”

To guage the system they developed, Vechtomova and her colleagues carried out a consumer examine during which they requested musicians to play reside music and share their suggestions concerning the lyrics created by their system. Apparently, most musicians who took half on this examine stated that they perceived LyricJam as a non-critical jam companion that inspired them to improvise and experiment with uncommon musical expressions.

“For instance, by shifting their musical model or making an attempt new chord progressions, artists taking part in our consumer examine noticed a real-time change in lyrical themes, which they discovered encouraging,” Vechtomova stated. “This implies that the system could possibly be helpful not only for lyric writing however for improvisation and composing music too.”

Sooner or later, LyricJam may show to be a extremely worthwhile device for musicians and artists worldwide, serving to them to compose distinctive and fascinating lyrics for his or her songs. Vechtomova and her colleagues are at present engaged on a remaining model of the system that could possibly be simply accessed by artists worldwide, whereas additionally making an attempt to design different instruments that would enhance lyric writing processes.

“Designing instruments that assist music artists to unlock their creativity is one in all my core analysis pursuits,” Vechtomova stated. “I’ve various ongoing analysis tasks in my lab, the place we take a look at different features of lyrics and music, resembling phonetic traits of lyrics and the musical construction of songs, in order that we are able to doubtlessly incorporate these features into lyric generative fashions.”


A system to generate new tune lyrics that match the model of particular artists


Extra data:
LyricJam: A system for producing lyrics for reside instrumental music. arXiv:2106.01960 [cs.SD]. arxiv.org/abs/2106.01960

lyricjam.ai

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