Summary
Dirceu Silva is a Machine Learning Specialist and PhD researcher in Audio and Voice Processing with over a decade of experience developing production-grade signal processing and ML systems for audio recovery, speaker recognition and music identification. Trained as a telecommunications engineer and former military researcher, he designed cryptophony and speaker-recognition systems for the Brazilian Army before pivoting to commercial products for radio/TV monitoring and call-center diarization. At InnoVox and through his own research consultancy he built robust C/C++ and Python pipelines for song activity detection, audio saturation control and fingerprint-based music recovery that power real-world broadcast monitoring. Comfortable bridging research and engineering, he also has taught and supervised graduate students, bringing a collaborative, mentorship-oriented approach to complex audio problems. Notably, his career combines field-hardened military communications experience with practical industrial deployments of audio ML—a blend that informs his pragmatic, reliability-focused solutions.
11 years of coding experience