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DSP / Audio Analytics Consultant (Gunshot / Impact / Vape Fusion) — Part-Time

DSP / Audio Analytics Consultant (Gunshot / Impact / Vape Fusion) — Part-Time

SafeSpace Globalpune, maharashtra, in
7 days ago
Job description

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

  • 5+ 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).
  • Nice-to-have

  • 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.
  • Deliverables (first 4–6 weeks)

  • 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.
  • Selection Criteria :

  • 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 (
  • Next steps : If interested please email your cover letter and resume to

    Ashwin at ashwin.jaiswal@safespaceglobal.ai

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