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
![Ambiq Micro](https://ambiq.ai/wp-content/uploads/2022/08/pasted-graphic-7-300x169.jpg)
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
![Ambiq Micro](https://ambiq.ai/wp-content/uploads/2022/08/pasted-graphic-6-283x300.jpg)
End-to-end development and deployment reference implementation of an efficient speech enhancement and de-noising model.
Anomaly Detection
Framework
![Ambiq Micro](https://ambiq.ai/wp-content/uploads/2022/08/pasted-graphic-5.png)
![Ambiq Micro](https://ambiq.ai/wp-content/uploads/2022/08/pasted-graphic-8.png)
This EdgeImpulse-based model detects vibration-based anomalies using accelerometer sensors sampled via neuralSPOT