Syntiant’s new reference design enables ODMs and OEMs to easily and quickly deploy ultra-low-power, edge AI voice processing applications in true wireless earbuds.
With embedded Syntiant Core 1™, the NDP100 achieves breakthrough performance by highly coupled computation and memory, exploiting the vast inherent parallelism of deep learning and computing.
Packaged with the tiny (1.4 mm x 1.8 mm) Syntiant® NDP100, the ultra-low-power wireless earbud reference design enables always-on AI voice processing at under 140 microwatts, delivering 100x more efficiency and 10x the throughput compared to traditional MCU-based systems.
With custom wake word support including “Hey Google” and “Alexa,” as well as compatibility with other voice assistant ecosystems and in multiple languages including Mandarin and Cantonese, the NDP100 enables hands-free control of local speech commands, such as playing music or operating a mobile phone.
Syntiant’s edge-optimized training pipeline enables ODMs to quickly build neural networks for a variety of always-on voice, sensor and image applications, providing customers with low-cost, turn-key solutions that put deep learning processing into almost any edge device, free from cloud connectivity, ensuring privacy and security. The company’s data platform is designed to ingest data from crowdsourced or proprietary sources, expand the data set with synthetic data generation and produce high quality datasets for training.
