Adversarial Masking Approach for Robust Target Source Localization in the SH Domain
Gyanajyoti Routray, Priyadarshini Dwivedi, Rahul Peter, Rajesh M. Hegde
Asilomar 2025 (Paper #1523)
About My Journey
I started out making music in my bedroom when I was 15, and I got deep into production during my later years. During my undergrad, coursework in DSP and math brought me closer to my interests. I couldn't go for my higher studies right after my bachelors's (to save up), during which I worked as a software engineer. During this time, I was able to beef up my coding skills and craft a path for me to pursue my research in acoustics and signal processing (which I'm now invested in at Aalto). I'm continuing to do this by participating in challenges with ML/Audio/Acoustics and even winning one this year. I'll continue to push these boundaries.
Background
Following 2 years at PineLabs building scalable fintech microservices, I transitioned into specialized acoustics and audio research. Currently, I'm an RnD Intern at Trinnov Audio in Paris, working on advanced ML/DSP methods for loudspeaker characterization in collaboration with Inria. Living and working in France has been an enriching experience, allowing me to contribute to cutting-edge audio technologies while immersing myself in a new cultural and professional environment that bridges industry and academia.
Focus Areas
• ML/DSP for Calibration: Developing models to extract source characteristics from room measurements (current focus at Trinnov)
• Spatial Audio & SELD: Sound event localization with Conformer models trained on synthetic stereo via SpatialScaper
• Acoustics & TDOA: ICASSP research on beamforming and adversarial masking for robust source localization
• Personalised Hearing: Real-time embedded DSP pipelines for hearing protection (Savox/Otos)
Approach
I try to deconstruct complex technical logic (which I used to abstract in my early days) and apply the same to real-world scenarios. Now I'm learning more at my uni!
Technical Skills
Building expertise across the acoustics spectrum
Acoustic Measurement
- Sound Level Meters
- FFT & STFT Analysis
- Impulse Response
- Reverberation Time
- MATLAB/Python
Audio Engineering
- DSP Algorithm Design
- Pro Tools
- Ableton Live
- Loudspeaker Tuning
- Real-time Audio Plugins
Signal Processing
- TDOA & Beamforming
- Variational Mode Decomposition
- Log-Mel & FOA Feature Extraction
Machine Learning
- PyTorch/TensorFlow
- Conformer Architectures
- Data Augmentation (SpatialScaper, RIRs)
- SELD
Microservices & DevOps
- Kotlin/Ktor
- Rust
- Docker & Kubernetes
- CI/CD
- AWS/GCP
Creative Coding
- React/Next.js
- Three.js Waveform Visuals
- Max4Live (Gen~)
- MIDI Scripting
Featured Projects
Showcasing practical applications of acoustic engineering principles
Personalised Hearing for Savox-Otos
Developing an inline audio module for professional hearing protection headsets to apply personalized hearing profiles.
Embedded SystemsDSPNFCProduct DevelopmentUser ResearchC++Python
Publications
Selected Papers
Titles, authors, and links to the work. No abstracts here.
Class-Aware Hybrid Ensemble for Query-by-Vocal Imitation
Rahul Peter, Vivek Mohan
AES International Conference on Artificial Intelligence and Machine Learning for Audio 2025
INTRUSIVE LYRIC INTELLIGIBILITY VIA HYBRID ATTENTION OVER ASR EMBEDDINGS AND FEATURE BLOCKS
Rahul Peter, Vivek Mohan, Seralathan Subramanian, Lauri Juvela
ICASSP 2026 (Published)
The Creatives
Side quests in music production and interactive audio tools
Electronic Music by me
Experience & Education
Building expertise through education and hands-on experience
RnD Intern – Trinnov Audio
Feb 2026 – PresentTrinnov Audio, Paris (co-supervised by Inria)
Developing ML/DSP methods to extract loudspeaker characteristics from room measurements for improved calibration. Supervised by Romain Couderc and Théophile Dupré. Co-supervised by Antoine Deleforge (Inria). Working within the research team headed by Miguel Moleron and Axel Coulon.
Collaborating with Inria research teamsExploring advanced ML architectures for room acoustic decoupling
M.Sc. Acoustics & Audio Technology (incoming)
Sept 2025 – PresentAalto University
Specializing in spatial audio, environmental noise control, and psychoacoustics.
Awarded with the Aalto Excellency scholarship
Backend Developer – PineLabs (Fintech)
2023 – 2025PineLabs, Bengaluru
Designed and maintained Kotlin/Ktor microservices, built Rust DLQ processors for webhook reliability, and led CI/CD pipelines on Kubernetes.
Reduced webhook failures by 36% with Rust retry logicAutomated 10+ deployment pipelines (Docker, Helm)
Researcher (part time) – Multimodal Information Processing Lab
Jul 2024 – Sep 2024IIT Kanpur
Conducted beamforming and TDOA experiments for source localization. Drafted an ICASSP and ASILOMAR paper on adversarial masking.
Part of the research team for the publications
B.E. Electronics & Communication
2019 – 2023Birla Institute of Technology and Science, Pilani, K.K. Birla Goa Campus
Specializing in Signal Processing, Programming, Applied Mathematics and Algorithms.
CGPA: 8.14/10.00Research in Speech Signal Processing
Let's Connect
Whether you’re hiring for audio research, backend engineering, or creative collaborations, let’s connect!