Is it a horror movie or a rom-com? AI can predict primarily based solely on music

Fig 1. The Rating Stamper pipeline. A movie is partitioned into non-overlapping five-second segments. For each phase, Dejavu will predict if a observe within the movie’s soundtrack is taking part in. Cues, or situations of a track’s use in a movie, are constructed by combining window predictions. On this instance, the “Cantina Band” cue lasts for 15 seconds as a result of it was predicted by Dejavu in two close by home windows. Credit score: DOI: 10.1371/journal.pone.0249957

Music is an indispensable aspect in movie: it establishes environment and temper, drives the viewer’s emotional reactions, and considerably influences the viewers’s interpretation of the story.

In a current paper revealed in PLOS ONE, a analysis group on the USC Viterbi College of Engineering, led by Professor Shrikanth Narayanan, sought to objectively study the impact of music on cinematic genres. Their research aimed to find out if AI-based expertise might predict the style of a movie primarily based on the soundtrack alone.

“By higher understanding how music impacts the viewer’s notion of a movie, we achieve insights into how movie creators can attain their viewers in a extra compelling approach,” stated Narayanan, College Professor and Niki and Max Nikias Chair in Engineering, professor {of electrical} and laptop engineering and laptop science and the director of USC Viterbi’s Sign Evaluation and Interpretation Laboratory (SAIL).

The notion that totally different movie genres are extra seemingly to make use of sure musical components of their soundtrack is fairly intuitive: a lighthearted romance would possibly embrace wealthy string passages and plush, lyrical melodies, whereas a horror movie would possibly as a substitute characteristic unsettling, piercing frequencies and eerily discordant notes.

However whereas previous work qualitatively signifies that totally different movie genres have their very own units of musical conventions—conventions that make that romance movie sound totally different from that horror film—Narayanan and group got down to discover quantitative proof that components of a movie’s soundtrack may very well be used to characterize the movie’s style.

Narayanan and group’s research was the primary to use deep studying fashions to the music utilized in a movie to see if a pc might predict the style of a movie primarily based on the soundtrack alone. They discovered that these fashions had been in a position to precisely classify a movie’s style utilizing machine studying, supporting the notion that musical options may be highly effective indicators in how we understand totally different movies.

In keeping with Timothy Greer, Ph.D. scholar at USC Viterbi within the division of laptop science who labored with Narayanan on the research, their work might have useful purposes for media firms and creators in understanding how music can improve different types of media. It might give manufacturing firms and music supervisors a greater understanding of how you can create and place music in tv, films, commercials, and documentaries in an effort to elicit sure feelings in viewers.

Along with Narayanan and Greer, the analysis group for the research included Dillon Knox, a Ph.D. scholar within the division {of electrical} and laptop engineering, and Benjamin Ma, who graduated from USC in 2021 with a B.S. in laptop science, a grasp’s in laptop science, and a minor in music manufacturing. (Ma was additionally named one of many two 2021 USC Schwarzman Students.) The group labored throughout the Middle for Computational Media Intelligence, a analysis group in SAIL.

Predicting style from soundtrack

Of their research, the group examined a dataset of 110 in style movies launched between 2014 and 2019. They used style classification listed on the Web Film Database (IMDb), to label every movie as motion, comedy, drama, horror, romance, or science-fiction, with most of the movies spanning a couple of of those genres.

Subsequent, they utilized a deep studying community that extracted the auditory data, like timbre, concord, melody, rhythm, and tone from the music and rating of every movie. This community used machine studying to research these musical options and proved able to precisely classifying the style of every movie primarily based on these options alone.

The group additionally interpreted these fashions to find out which musical options had been most indicative of variations between genres. The fashions did not give specifics as to which sorts of notes or devices had been related to every style, however they had been in a position to set up that tonal and timbral options had been most essential in predicting the movie’s style.

“Laying this groundwork is actually thrilling as a result of we will now be extra exact within the sorts of questions that we need to ask about how music is utilized in movie,” stated Knox. “The general movie expertise could be very sophisticated and with the ability to computationally analyze its affect and the alternatives and traits that go into its development could be very thrilling.”

Future instructions

Narayanan and his group examined the auditory data from every movie utilizing a expertise often known as audio fingerprinting, the identical expertise that allows companies like Shazam to determine songs from a database by listening to recordings, even when there are sound results or different background noise current. This expertise allowed them to take a look at the place the musical cues occur in a movie and for a way lengthy.

“Utilizing audio fingerprinting to hearken to the entire audio from the movie allowed us to beat a limitation of earlier movie music research, which normally simply regarded on the movie’s complete soundtrack album with out understanding if or when songs from the album seem within the movie,” stated Ma. Sooner or later, the group is excited by profiting from this functionality to check how music is utilized in particular moments in a movie and the way musical cues dictate how the narrative of the movie evolves over its course.

“With the ever-increasing entry to each movie and music, it has by no means been extra essential to quantitatively research how this media impacts us,” Greer stated. “Understanding how music works along with different types of media may also help us devise higher viewing experiences and make artwork that is transferring and impactful.”

AI instrument characterizes a track’s style and supplies insights relating to notion music

Extra data:
Benjamin Ma et al, A computational lens into how music characterizes style in movie, PLOS ONE (2021). DOI: 10.1371/journal.pone.0249957

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College of Southern California

Is it a horror movie or a rom-com? AI can predict primarily based solely on music (2021, September 15)
retrieved 15 September 2021

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