ABR releases Nith TTS at 5.5M parameters
The model achieves natural voice quality and runs on edge silicon with low latency, supporting voice cloning and multiple languages.
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Developer of state space models for edge AI
appliedbrainresearch.comLast updated
In short: ABR advanced its edge AI capabilities by launching speech models, shipping its first TSP1 development kits, and securing seed funding.
The model achieves natural voice quality and runs on edge silicon with low latency, supporting voice cloning and multiple languages.
Cloud voice API costs can be 10-50x higher than text, driven by stacking, token inflation, and behavioral effects.
The round was supported by Two Small Fish, Silicon Catalyst Ventures, Garage Capital, Raptor Group, and angel investors.
This milestone marks first TSP1 revenue and enables real-time voice/biomedical AI processing for edge devices.
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