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Beamie Voice Synthesis & Audio DSP Pipeline
Designed an automated studio DSP broadcast engine and multi-lingual voice synthesis pipeline for CargoBeamer's official AI mascot across 4 European languages.
Overview
Beamie is CargoBeamer’s official corporate AI mascot, created to communicate digital transformation, sustainability metrics, and operations updates across the company and European logistics corridors.
To give Beamie a consistent, high-fidelity acoustic voice across English, German, French, and Italian, I engineered an automated CLI and audio DSP pipeline that takes raw speech synthesis and transforms it into broadcast-grade master audio.
Engineering Highlights
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Multi-Model Synthesis Engine:
- Designed a modular synthesis backend supporting high-quality cloud models (ElevenLabs Bella Multilingual v2) alongside local, low-latency offline fallback models (Kokoro-FastAPI, Edge-TTS).
- Standardized phoneme mapping, pronunciation overrides for proprietary rail freight terminology (e.g., intermodal, pocket wagon, horizontal loading), and multi-lingual cadence matching.
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5-Stage Studio Audio DSP Chain:
- Stage 1 (Pre-EQ Filtering): Applied 85 Hz highpass filtering to eliminate sub-bass rumble, coupled with a surgical 320 Hz de-mud notch (-2.5 dB, Q=1.8).
- Stage 2 (Presence & Clarity): Tuned a 3.6 kHz bell boost (+3.0 dB, Q=1.2) for vocal intelligibility across phone speakers and conference room acoustics.
- Stage 3 (High-Frequency Air): Introduced a 10.5 kHz high-shelf (+2.0 dB) for modern broadcast sheen.
- Stage 4 (Haas Stereo Widening): Implemented micro-delay stereo widening (55 ms delay, 15% wet mix) to create subtle spatial separation without phase cancellation in mono playback.
- Stage 5 (Dynamics & Loudness Normalization): Configured optical compression (2.5:1 ratio, 30 ms attack, 120 ms release) and strict EBU R128 loudness normalization (-16.0 LUFS integrated loudness, -1.5 dBFS true peak).
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Developer CLI & Video Pipeline Integration:
- Packaged the entire DSP engine into a streamlined Python CLI tool (
beamie). - Integrated with Remotion video pipelines to automatically align generated speech waveforms with dynamic animated lip-sync and timed on-screen captions.
- Packaged the entire DSP engine into a streamlined Python CLI tool (
Business Impact
- Consistent Brand Identity: Established a unified acoustic fingerprint for CargoBeamer across all multimedia collateral and product tutorials.
- Fast Production Turnaround: Reduced voice-over production from days (waiting on external voice talent) to seconds via automated CLI scripts.
- Enterprise Asset Governance: Maintained strict canonical source-of-truth guidelines and audio master assets across company repositories.