Portfolio / Research

Daniel Domínguez

Sound Artist, Audio Researcher AI & Computational Creativity

View Selected Projects ↓

01 — Selected Works

Caretaker

Role: Re-recording Mixer / Lead Sound Designer

Prod: Light & Noise

Dir: Veronica Wood

Watch Shortfilm ↗

The Art of Resilience: Episode 2

Role: Production Sound Mixer

Prod: Waterbear

Dir: Federico Urdaneta

Watch Episode ↗

Misfit # Eres O Te Haces

Role: SFX Editor

Prod: 2btube

Dir: Orlando Herrera

View on Prime Video ↗

02 — Research Lab

Polígono Splitter

Deep Learning-based audio source separation tool. Neural network implementation for workflow optimization in post-production environments.

Tech Stack: Python, Electron, PyTorch.

Download App ↓ GitHub Repo ↗

Designing Sound In The Box

Specialized publication systematizing methodologies for cinematic sound design. A research exploration on technical and creative optimization in fully digital workflows.

Status: Under editing / Release 2026.

Neuro Audio Lab

Psychoacoustic web environment for mental state management. Procedural generation of adaptive soundscapes for Focus, Sleep, and Anxiety relief.

Tech Stack: Web Audio API, JavaScript, Canvas.

Visit Beta ↗

Polígono AI Hub

Desktop suite for AI-powered audio processing. Unifies stem separation tools (Demucs/PyTorch) and vocal removal with GPU acceleration.

Tech Stack: Electron, Python, PyTorch, CUDA.

GitHub Repo ↗

03 — About Me

With over a decade of experience crafting sonic narratives for film, advertising, and digital media, my professional practice is grounded in technical precision and artistic sensitivity.

In the academic realm, I balance industry work with teaching, training new generations in Sound Design. Currently, my research sits at the intersection of audio and technology, exploring how Artificial Intelligence is redefining the boundaries of creation and audiovisual post-production.

Current Role

Founder & Director at:
Polígono Studio ↗