Deep learning using CNN for Mandarin Chinese tone classification
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Updated
Apr 5, 2019 - Jupyter Notebook
Deep learning using CNN for Mandarin Chinese tone classification
Classifying Radio signal coming from space
Repository for COVID-19 screening project. Involves audio processing and some CV.
Analysis of human behavioral and neural variability during naturalistic arm movements. Replicates the findings in our preprint: https://www.biorxiv.org/content/10.1101/2020.04.17.047357v2
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.
Implementation in Python of a tool to automatically classify speech segments according to intonation system of Cuba.
TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement
NTU RGB+D Dataset Action Recognition with GNNs and CNNs
The code implements the Deep CNN model described in Salamon and Bello's paper for Environmental Sound Classification on Urbansound8k dataset
Find gravitational wave signals from binary black hole collisions.
Music timbre transfer
Converts Audio Files to spectrograms
Obspy code that generates continuous spectrograms from FDSN listed seismic stations.
Build a Neural Network to identify and classify emotion Real-time Emotion Detection using the tone of their voice. Restrictive to English language (American accent)
Here, we shall be visualising the spectrograms of two wav files and compare them using the library librosa in python.
Find how similar your voice is to Taylor Swift (WIP) ✨
Different Signal Processing Tasks
Easier audio-based machine learning with TensorFlow.
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
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