DSP Group’s DBM10L is an ultra-low-power, small-form-factor, cost-effective artificial intelligence (AI) and machine learning (ML) SoC based on a digital signal processor (DSP) and neural network (NN) engine, both optimized for voice and sensor processing. It is suitable for battery-operated devices such as smartphones, tablets, wearables, and hearables, including true wireless stereo (TWS) headsets, as well as smart home devices such as remote controls. The DBM10L can enable AI/ML, voice, and sensor fusion functions that include voice trigger (VT), voice authentication (VA), voice command (VC), noise reduction (NR), acoustic echo cancellation (AEC), sound event detection (SED), proximity and gesture detection, sensor data processing, and equalization.
The DBM10L’s NN engine comprises DSP Group’s nNet Lite NN processor, a standalone hardware engine that is designed to accelerate the execution of NN inferences. nNet Lite provides the DBM10L its ML capability and is optimized for maximum efficiency to ensure ultra-low power consumption for small- to medium-size NNs.
The DBM10L is supported by embedded memory, as well as serial and audio interfaces for communication with other devices in the system, such as an application processor (AP), codecs, microphones, and sensors.
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