Gabriel Bibbó

ML/DSP Engineer

Edge Audio Labs, Montevideo, Uruguay · Hybrid

• Applied machine learning, digital signal processing, testing, and perceptual evaluation across two confidential audio product lines, without disclosing client or project identities.
• Designed and delivered a rendering-side feature that maps score dynamics to model-level timbral expression rather than post-render gain alone, after reverse-engineering the end-to-end audio pipeline and identifying a hidden control-path failure.
• Built measurement and listening-test tooling covering approximately 580 renders and a 48-clip blind evaluation, then delivered the feature server-side without retraining the model.
• Built a headless C++ evaluation pipeline for real-time note and onset detection, from WAV and MIDI inputs through the production DSP to JSON metrics, regression tests, and adversarial canary cases.
• Found and corrected a systematic onset timing offset of approximately 104 ms, improved detector guard logic, and communicated results through technical documentation, pull requests, Jira, and client-facing presentations.

Visiting Researcher (collaboration)

University of Surrey, Remote · Research collaboration

• Preparing the manuscript ‘A Psychometric Evaluation of Audio-Language Models for Robust Voice Activity Detection’ for Elsevier Computer Speech & Language with Mark D. Plumbley and Simone Spagnol.
• Co-authoring work with Arshdeep Singh and Mark D. Plumbley on privacy-preserving audio and machine listening.

Research Engineer in Sound Sensing

University of Surrey, Guildford, UK · Research engineering

• Developed end-to-end audio ML systems for real-world smart environments, covering data preparation, model evaluation, prototype deployment, open-source releases, demos, datasets, and technical documentation.
• Built privacy-preserving SED pipelines for sensitive in-home recordings, including a 197 GB residential audio dataset, speech-removal workflows, and reproducible evaluation resources.
• Built an eight-model VAD benchmark on CHiME-Home and, separately, evaluated audio-language models under controlled duration, noise, reverberation, and spectral degradations.
• Deployed real-time CNN inference on Raspberry Pi, including latency, thermal, efficiency, and robustness evaluation for edge sound sensing.
• Published and presented research at ICASSP, IEEE WASPAA, CHiME Workshop, Inter-Noise, SMC, UKAI, UKIS, and AES. Supervised undergraduate and master’s projects.

Technical Support Engineer - Google Workspace

Webhelp, Barcelona, Spain · Enterprise support

• Tier 3 support for Google Workspace enterprise customers across APIs, OAuth, SAML/SSO, IAM, user provisioning, data migration, DNS/domain configuration, and security/compliance settings.

IT Auditor

KPMG, Barcelona, Spain · Technology audit

• Supported telecommunications companies and IT departments in technology audit engagements.

R&D Engineer

Ikatu, Montevideo, Uruguay · Embedded R&D

• Designed and shipped embedded C/C++ audio and IoT firmware for Bang & Olufsen home automation products, including low-level drivers, hardware integration, audio I/O, and Internet connectivity.
• Worked across requirements, architecture, implementation, testing, validation, and customer-facing documentation.
• Trained and onboarded incoming programmers in embedded development practices.

Engineering Intern

Ikatu, Montevideo, Uruguay · Engineering internship

• Developed and coordinated a complete home automation system project before transitioning into the R&D Engineer role.

ALPACA

Software engineering · Trading infrastructure

Software engineering prototype for algorithmic trading infrastructure, with market data ingestion, event processing, risk controls, historical simulation, persistence, API access, and monitoring. It has not been tested in production.

Python · Backtesting · Risk controls · Monitoring

Code

ASR Enhancement Platform

Speech enhancement · Backend platform

An end-to-end MVP for comparing raw transcription with enhance-and-transcribe on pre-recorded audio. The backend persists jobs, audio artifacts, transcripts, and provider payloads, with FastAPI, Celery, PostgreSQL, Redis, MinIO, Docker Compose, metrics, tracing, Grafana, and CI. It is a reproducible engineering prototype, not a production-hardened service.

FastAPI · Celery · Docker · PostgreSQL · Redis

Code

Audio-Language Models for Voice Activity Detection

Audio AI · VAD · Model evaluation

This research evaluates how audio-language models detect speech when the audio is short, noisy, reverberant, or filtered. It compares Qwen2-Audio-7B, Qwen2-Audio-7B with LoRA, Qwen3-Omni-30B, and Silero VAD. The best result came from Qwen2-Audio-7B with LoRA and OPRO-Template: 93.3% balanced accuracy on 21,340 degraded clips.

Qwen · LoRA · OPRO · Silero · PyTorch

Code

Recovery Gain in Pruned Text-to-Audio Diffusion

Text-to-audio · Model compression · Evaluation

Recovery fine-tuning can make a heavily pruned text-to-audio model look largely restored when it is evaluated under conditions similar to those used for fine-tuning. But that apparent recovery weakens sharply for shorter clips or out-of-domain prompts. The result shows why compressed generative models should be evaluated across real operating conditions, not at a single benchmark setting.

AudioLDM · Diffusion · Structured pruning · CLAP · PyTorch

Code

Traktor ML

MIR · DJ library organisation

Traktor ML turns a local Techno and Tech House library into Traktor-ready playlists. The pipeline extracts MERT embeddings, separates stems with Demucs, reads BPM and key metadata with Essentia, clusters similar tracks, orders them for smoother transitions, and exports M3U playlists. The current V4 run processed 239 tracks and exported 14 playlists.

MERT · Demucs · Essentia · HDBSCAN · UMAP · Streamlit

Code

Speech Removal Framework

Privacy · Speech removal · WASPAA

A framework for removing speech from audio recordings before they are shared or published. The system supports privacy-preserving release workflows while retaining non-speech acoustic information for sound event detection research.

PANNs · AST · Silero VAD · WebRTC VAD · Audio privacy

Demo · DOI

Sounds of Home Dataset

Privacy-preserving dataset · Domestic audio

Sounds of Home is a residential audio dataset for sound event detection. It contains 1,344 one-hour recordings collected from 8 participants in Belgium, using AudioMoth recorders placed in living rooms and kitchens. Speech was removed before release, and PANNs predictions were provided for the audio frames.

SED · AudioMoth · PANNs · Datasets

Official site · Paper

Raspberry Pi Sound Event Recognition Demo

Edge AI · Sound event recognition

Raspberry Pi demo for real-time sound event recognition. The system runs pre-trained neural networks on a low-cost edge device, exposes a web interface, and can send email notifications when selected AudioSet events are detected.

Raspberry Pi · AudioSet · Real-time inference · Email notifications

Code · Video

3H-ATO

Product design · Mechanical prototyping

Mechanical tool designed during the pandemic to avoid touching shared surfaces directly.

Mechanical design · Prototyping · Product development

Video

Harmonic EDM Mixing Compatibility

MIR · Harmonic mixing · MSc thesis

This music analysis system estimates how well two EDM tracks mix harmonically. It analyzes tracks, computes chroma features, converts them into Tonal Interval Vectors, compares harmonic compatibility, and suggests pitch shifts that can improve a mix. The work began as an MSc thesis and later became an ICWE 2022 publication.

Chroma · TIV · Essentia · librosa · EDM

Code · Paper

Automatic IoT Soap Dispenser

IoT · Embedded systems

IoT handwashing device for industrial environments. The device used stainless steel, WiFi, cloud connectivity, IR/RFID sensors, and a 3-litre tank.

WiFi · IR/RFID · Cloud connectivity · Industrial hygiene

UyVoy Mobile App

Product · Mobile app

Mobile app project for booking appointments and reducing crowding during the pandemic. Gabriel worked as product owner and project lead.

Product ownership · Civic tech · Project management

PRINCE2 Foundation in Project Management

Certificate GR656321771GB · Expires 03/2027

Project management techniques, risk mitigation, resource allocation, project planning, and monitoring.

Deep Learning

DeepLearning.AI · Coursera

Completed

CNNs, RNNs, transformers, TensorFlow, inductive transfer, and optimisation.

Machine Learning

Stanford University · Coursera

Completed

Supervised and unsupervised learning and best practices in machine learning.

Electronic Music Production

AURA · Montevideo, Uruguay

Graduated

Ableton and analogue instruments.

Private Guitar Lessons

Montevideo, Uruguay