Sync Lyrics by BPM
To line up spoken words or song lyrics with the music, count the track's beats per minute by hand, give that number and the words to the AI model, then fix the timing by hand.
Sound, Score and Direction Vocabulary
Editing picture to sound and acquiring the vocabulary of camera direction. Students generate a music track to a chosen mood, cut the picture to its beat, and chain a text model into an audio model to produce narration and score.
To line up spoken words or song lyrics with the music, count the track's beats per minute by hand, give that number and the words to the AI model, then fix the timing by hand.
Chained generation means one AI model (a text model) writes the sound instructions, and a second AI model (an audio model) turns those instructions into sound, and you make changes by editing the instructions rather than starting over.
There are ten camera words the AI model reliably understands, including move in and out (dolly), turn side to side (pan), tilt up and down, move on a crane, and a still shot (locked off).
Developing advanced technical creativity to design, build, and innovate with AI tools and methods.
Writing a role-based, constraint-bound prompt (role, duration, mood) to direct AI audio/voice generation. Evidence: "You are a sound engineer. make music for a horror movie trailer. It must be 60 [seconds]..." (editing-to-sound).
Innovatively combining and adapting AI methods to address novel problems and create new solutions.
Write camera directions in words the AI model can follow: where the camera is, how it moves, what it focuses on, the shot type, and what the background is doing.
Count a track's beats per minute (how many beats happen in one minute) by hand, then give that number to the model so the sound lines up.
Make a section of the trailer with music, where the picture is cut to match an AI-generated music track. A piece of music made to match a mood and cut together with the picture, plus a task list where every job has one named person responsible.
Transfers to: Directing a generative tool in the exact language it understands.
This deliverable is where students demonstrate