Transforms images into audio
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Updated
Sep 6, 2024 - Python
Transforms images into audio
Classifying Radio signal coming from space
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
Different Signal Processing Tasks
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)
Implementation in Python of a tool to automatically classify speech segments according to intonation system of Cuba.
Speaker Verification utilizing the Self-Supervised Audio Spectrogram Transformer
Find how similar your voice is to Taylor Swift (WIP) ✨
Obspy code that generates continuous spectrograms from FDSN listed seismic stations.
Here, we shall be visualising the spectrograms of two wav files and compare them using the library librosa in python.
TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement
Repository for COVID-19 screening project. Involves audio processing and some CV.
Converts Audio Files to spectrograms
NoiseCapture 2 Multi Platform
LOFAR System Health Management
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
Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.
Find gravitational wave signals from binary black hole collisions.
The code implements the Deep CNN model described in Salamon and Bello's paper for Environmental Sound Classification on Urbansound8k dataset
NTU RGB+D Dataset Action Recognition with GNNs and CNNs
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