DSP Group, Inc. announced the DBM10, a low-power, cost-effective artificial intelligence (AI) and machine learning (ML) system on chip (SoC). The SoC comprises a digital signal processor (DSP) and the company’s nNetLite neural network (NN) processor, both optimized for low-power voice and sensor processing in battery operated devices. This architecture offers developers full flexibility of partitioning innovative algorithms between DSP and NN processor and enables fast TTM for integration of voice and sensing algorithms such as noise reduction, AEC, wake-word detection, voice activity detection and other ML models. The DBM10 features an open platform approach with a comprehensive software framework. This allows developers to quickly get next-generation designs to market with their own algorithms, or with DSP Group’s comprehensive and proven suite of optimized algorithms for voice, sound event detection (SED), and sensor fusion for applications ranging from true wireless stereo (TWS) headsets to smartphones, tablets, wearables, and IoT.