all models
Heart Arrhythmia Classification
Framework
The Heart Arrhythmia Classification example model performs real-time heart arrhythmia classification using 1-lead ECG and optionally PPG. Classification can be performed on either rhythm (e.g. normal, AFIB, AFL) or beat (e.g. PAC, PVC).
Neural Network Speech
Framework
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NN Speech (NNSP) integrates 3 neural networks, voice activitiy detection (VAD), keyword spotting (KWS) and Speech to intent (S2I).
Speech Enhancement and De-noising
Framework
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End-to-end development and deployment reference implementation of an efficient speech enhancement and de-noising model.
Anomaly Detection
Framework
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This EdgeImpulse-based model detects vibration-based anomalies using accelerometer sensors sampled via neuralSPOT