An open-source CoreML model trained on the ESC10 dataset
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Updated
Nov 6, 2020 - Swift
An open-source CoreML model trained on the ESC10 dataset
Helping bird enthusiasts and ornithologists with real-time species identification through a network of smart devices leveraging live sound analysis and LoRaWAN communication. Harnessing Raspberry Pi and Python, with a FastAPI backend and a Flutter mobile app.
iOS project to learn Sound Classification using Create ML and SoundAnalysis framework
👶🏿A reliable technological solution for accurately identifying and classifying the emotional states expressed in baby cries is urgently needed to support optimal emotional development in early infancy and enable responsive parenting. Caregivers gain real-time insights into their baby's emotional state, facilitating timely and appropriate response
An iOS PoC that uses CoreML + SwiftUI to identify the cat's feeling
Showcases the output for "Pitch Detection with SPICE".
Sound analysis of differen automobile engines such as N.A.(natural aspirated) and turbo. Needs extra sound files of users choice. Contains additional filtering designed in pyFDA.
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