Formula 1: Engine Acoustic Analysis
CNN-BiLSTM model to classify F1 Team, Circuit and Driver using onboard Engine Audio
Hey, I’m
Govinda Madhava
Machine Learning & Music Informatics
EXPERIENCE
Research Collaborator @ UC Santa Cruz
Feb 2025 - Present
Santa Cruz, CA
- - Swara Studio: Enhance and maintain our interactive platform enabling visualization and analysis of musical structures.
- - Contributed transcriptions using advanced set of symbols to notate Hindustani music glissandi and detailed melodic contours.
- - Skills: Music Transcription, Python, Dataset creation
Software Development Engineer (Audio) @ Swar Systems
Jun 2024 - Jun 2025
Rolle, Switzerland
- - Develop Applications and User Interface powering Tanpura Droid (1M+ downloads) and Swar Shala, directly impacting over a million users and enabling Indian music learning, composition, and production at scale.
- - Translated research into production by architecting an end-to-end ML pipeline delivering real-time, low-latency pitch shifting (±12 semitones) using Google Magenta DDSP and Granular Audio Synthesis.
- - Applied time-frequency masking reducing audio bleeding in binaural datasets, improving Signal-to-Noise Ratio by 68%.
- - Optimized real-time user pitch tracking by 29% by improving Circular Buffer management and Dynamic Time Warping (DTW).
- - Skills: Python, C++, Machine Learning, Digital Signal Processing, Time Series Analysis, Generative AI, End-End pipeline
Research Intern (MusicTech) @ Digital Audio Processing Lab
Dec 2023 - Apr 2024
IIT Bombay, India
- - Curated a music dataset comprising 4 hr of high quality audio, metadata, rendition-wise digitized notations.
- - Achieved 68% accuracy developing a Bi-LSTM architecture, the first automated transcription system for Indian classical vocal performances, converting raw audio signals to pitch contours and schematic notation.
- - Skills: Python, Machine Learning, Dataset Creation, Music Transcription
EDUCATION
Georgia Institute of Technology
Aug 2025 - Expected May 2027
Atlanta, USA
- MS, Music Technology | Music Informatics Group
PES University
Aug 2020 - Apr 2024
Bengaluru, India
- B.Tech, Computer Science & Engineering
FEATURED PROJECTS
Bandish-to-Notation
Bi-LSTM model that automatically transcripts Indian Classical Music Vocal audio into Schematic Notation
Carnatic Music Visualiser
Understand Music by Visualising the Notes behind the Melody!
24notes
Listen to the 12 & 24-note Music Octaves Demo for a Tonic Frequency of your choice!!
Indian Raga Identifier
Classify Raga / Scale and Compare the performance of Machine Learning v/s Deep Learning algorithms
RespirAI: Multi-modal Classification of Lung Diseases using Deep Learning
Multi-modal Deep Learning algorithm that diagnoses respiratory illnesses using Sthethoscope Audio and X-ray Images
I was initiated into music at a very early age by my mother Dr. Sandhya Shankar. Being gifted with musical talents, I started learning the Carnatic Violin from Vid. Lalgudi Rajalakshmi at the age of 5. I’m currently learning advanced violin lessons under the guidance of Vid Charulata Ramanujam. Since the past 18+ years, I have performed 200+ concerts as a violinist & vocalist at prestigious venues across India. I am also proud to be a part of social awareness and charity programs for children with special needs, saving indigenous cow breeds of India and Rotary outreach programs. I have also been part of the core music team in short-films and composing the anthem for our university cultural fest Atmatrisha with a footfall of 8,000+ students. I have been able to bring music to a larger audience by conducting music workshops, lecture demonstrations and jamming sessions at my University. Tutoring senior students, I employed innovative methods using my instrument to convey nuances and enhance the learning experience, which greatly benefited my students.