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Research

What This Research Explores

Film music is a precision emotional engineering system. A composer writing for picture does not approximate emotion – they construct it, at specific timecodes, against specific visual events. This research asks: can that construction be computationally modeled?

The lab investigates five interconnected questions:

Research Components

Component Domain Status
Acoustic Feature Extraction
Music Information Retrieval
Active · EXP-001
Emotion Annotation Framework
Human-in-the-Loop AI
In Development
Cinematic Dataset Construction
Data Engineering
Ongoing
Harmonic Tension Modeling
Computational Musicology
Experimental
Narrative Emotion Arc Mapping
Computational Storytelling
Theoretical
Composer Interpretation System
Human Annotation
In Progress
ML Emotion Classifier
Supervised Learning
Baseline Stage
Spectral Suspense Detection
Audio Signal Processing
Experimental

System Architecture

The system architecture is designed around a single principle: each layer must be independently interrogable. The pipeline operates across four abstraction layers:

Layer 1 - Signal

Raw audio ingestion, format normalization, mono conversion, sample rate standardization. All clips processed to 22050Hz, float32.

Layer 2 - Features

Multi-domain acoustic feature extraction. 71 dimensions per clip across 7 feature groups. Designed to be over-complete at this stage; dimensionality reduction applied downstream.

Layer 3 - Annotation

Composer-led emotional labeling integrated as supervised targets. Schema captures primary/secondary emotion, intensity (1–5), narrative position, harmonic mode, and orchestration density.

Layer 4 - Modeling

Classical ML baselines → deep sequence models → transformer architectures. Each model evaluated against composer annotations as ground truth.

Get in touch

Bernard Consuting

Want to work with Bernard on your digital projects? Send him a message to let him know what your challenges are! You can reach out to Bernard via his Linkedin profile. https://www.linkedin.com/in/bernard-g/

Address: Vgosh Info LLC, 111 NE, 1st Street,
8th Floor, 88510, Miami, FL 33142