Montevideo, Uruguay · Audio AI · Machine Listening · MIR
I research, implement, evaluate, and deploy audio machine learning systems. My work connects sound event detection, voice activity detection, privacy-preserving audio, embedded ML, and music information retrieval.
Projects
A mix of peer-reviewed research work, deployable prototypes, and independent technical projects.
Audio AI · VAD · Model evaluation
I tested how audio-language models detect speech when the audio is short, noisy, reverberant, or filtered. The project compares Qwen2-Audio-7B, Qwen2-Audio-7B with LoRA, Qwen3-Omni-30B, and Silero VAD on the same degraded test bank. The best result came from Qwen2-Audio-7B with LoRA and OPRO-Template: 93.3% balanced accuracy on 21,340 degraded clips.
Speech enhancement · Backend platform
I built a backend platform to compare two ASR paths on the same audio: raw transcription and enhance-and-transcribe. The system stores jobs, audio files, transcripts, and provider payloads so each result can be inspected later. It uses FastAPI, Celery, PostgreSQL, Redis, MinIO, Docker Compose, metrics, tracing, Grafana, and CI.
Privacy-preserving dataset · Domestic audio
I worked on Sounds of Home, a residential audio dataset for sound event detection. The dataset contains 1,344 one-hour recordings from 8 homes in Belgium. AudioMoth recorders were placed in living rooms and kitchens. Speech was removed before release, and PANNs predictions were provided for the audio frames.
MIR · Harmonic mixing · MSc thesis
I built a music analysis system for estimating how well two EDM tracks mix harmonically. The system analyzes tracks, computes chroma features, converts them into Tonal Interval Vectors, compares harmonic compatibility, and suggests pitch shifts that can improve a mix. This was my MSc thesis work and later became an ICWE 2022 publication.
MIR · DJ library organization
I built a pipeline that turns a local Techno and Tech House library into Traktor-ready playlists. The system 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. The private audio collection is not included in the repo.
Framework for removing speech from audio recordings before they are shared or published. It belongs to the privacy-preserving audio line of work and is linked to the WASPAA 2025 demo/publication.
Python-based algorithmic trading platform with market data ingestion, risk controls, backtesting, and real-time monitoring. Kept as a secondary project because it shows backend and system design outside Audio AI.
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.
Mechanical tool designed during the pandemic to avoid touching shared surfaces directly. It is a physical prototyping project, not an AI project.
IoT handwashing device for industrial environments. The device used stainless steel, WiFi, cloud connectivity, IR/RFID sensors, and a 3-litre tank.
Mobile app project for booking appointments and reducing crowding during the pandemic. My role is shown as Project Manager.
Research / Publications
Thomas Deacon; Jennifer Williams; Jason R. C. Nurse; Christopher Hicks; Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley
2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio
Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley
2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Tahoe City, CA, October 2025
Gabriel Bibbó; Craig Cieciura; Mark D. Plumbley
Proceedings of the 54th International Congress and Exposition on Noise Control Engineering, São Paulo, Brazil, August 2025
Rhys Burchett-Vass; Arshdeep Singh; Gabriel Bibbó; Mark D. Plumbley
2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio
Thomas Deacon; Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley
Forum Acusticum / Euronoise 2025, Málaga, Spain, June 2025
Arshdeep Singh; Gabriel Bibbó; Thomas Deacon; Haohe Liu; Mark D. Plumbley
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India, April 2025
Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley
INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Nantes, France, August 2024
Gabriel Bibbó; Thomas Deacon; Arshdeep Singh; Mark D. Plumbley
8th International Workshop on Speech Processing in Everyday Environments (CHiME 2024), Kos Island, Greece, September 2024
Thomas Deacon; Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley
International Conference on Sound and Music Computing (SMC 2024), Porto, Portugal, July 2024
Gabriel Bibbó Frau; Ángel Faraldo
International Conference on Web Engineering (ICWE 2022), Springer, Bari, Italy, July 2022
Gabriel Bibbó; Angel Faraldo
Dissertation or Thesis, Universitat Pompeu Fabra, October 2021
Gabriel Bibbó; Mariana Gelós; Martín Randall; Pablo Belzarena; Federico Larroca
Dissertation or Thesis, Universidad de la República, December 2017
Experience
University of Surrey, Remote
University of Surrey, Guildford, UK
Webhelp, Barcelona, Spain
KPMG, Barcelona, Spain
Ikatu, Montevideo, Uruguay
Technical Stack