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 released its ABR SDK with Niagara ASR and Nith TTS models, shipped TSP1 edge AI chips, and closed an oversubscribed seed round.
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.
Applied Brain Research (ABR) today announced general availability of the ABR SDK and the Niagara ASR and Nith TTS model families, a production toolkit for...
Transformers face a formidable rival! Neuromorphic chip startup ABR has launched the industry's first state space model acceleration chip, featuring half the parameter count of Transformers and linear computational growth. This article analyzes how 22nm process technology and hardware-software co-design achieve ultra-low power consumption of 30mW and 120ms latency for edge-side speech recognition, unlocking AR/VR glasses and robotic edge AI applications...
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