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DSP / Audio Analytics Consultant (Gunshot / Impact / Vape Fusion) — Part-Time
SafeSpace Globalbelgaum, karnataka, in5 days ago
Job description5+ years DSP / audio ML (torchaudio / librosa), real-time classification on edge hardware. Model deployment experience (ONNX / TensorRT where relevant), streaming pipelines, latency profiling. Practical know-how with noisy environments (reverberation, HVAC, impulse sounds, crowd noise). Experience with public audio model families (e.g., PANNs-style architectures) and license vetting. Mic placement, array processing (GCC-PHAT, beamforming), AEC / denoise familiarity. Timeseries analytics (onset / peak detectors) and event synchronization. Audio model + preprocessing config achieving target precision / recall on our clips; latency budget & CPU / GPU load report. Zone-wise threshold table, Δt gates, and privacy policy notes (bathroom handling). Test suite + confusion matrix and a simple monitoring dashboard for false-alarm drift. Live / Whiteboard / IDE (90-120 min) around Acoustic event design, Thresholds & zone gating, Sensor fusion windowing, Mic placement & future TDOA and Edge deployment Take-Home (
Location : Hyderabad, India
About the engagement
Our campuses include mics and vape sensors (bathrooms = audio / vape only, no video). We need an audio expert to deliver low-latency acoustic anomaly detection (gunshot / impact / shout) and to define sensor-fusion timing with optical events.
Time : 4–8 hrs / week (flex). Location : Remote.
What you’ll do
- Select and adapt edge-friendly audio models for gunshot / impact / shout (Apache-friendly where possible) and define thresholds per zone.
- Engineer robust preprocessing : resampling, VAD, log-mel / spec features, clipping / AGC handling, channel calibration.
- Define ±Δt gating vs. optical events; handle device offsets and publish evidence (onset time, spectral signature).
- If applicable, design mic-array / TDOA roadmap (future) : array geometry, beamforming options, calibration SOP.
- Build an evaluation set (curated clips + confusers) and scorecards; tune for low false alarms.
Must-have
Nice-to-have
Deliverables (first 4–6 weeks)
Selection Criteria :
Next steps : If interested please email your cover letter and resume to
Ashwin at ashwin.jaiswal@safespaceglobal.ai
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