marcinel Goto Github PK

deeplearningforaudiowithpython

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

distant_speech_recognition

spatial signal processing toolkit a.k.a beamforming toolkit 2.0 (BTK2.0)

django-admin-multiupload

dsatools

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.

embedded_videos_stm32

Contents for my videos on embedded programming on Linux with STM32

emd

material related to empirical mode decomposition

emotion-analysis-using-speech

When you are listening to music and the music player automatically plays songs matching to your emotions. This is one of the many use cases of Emotion detection using speech. Our main goal is to come up with a robust deep learning model which can accurately and efficiently classify the emotions from given audio. For this we have used two methods, one by directly analysing the speech and another by changing the speech into text.

esc-cnn-microcontroller

Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks

fight_detection

Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition

flstudioasio

FL Studio ASIO source file extracted from FL Studio.

hhsa

Trying to implement Holo-Hilbert spectral analysis

hhsa_cpu_openmp

Holo-Hilbert Spectral Analysis (HHSA) OpenMP version: This program can doing Hilbert–Huang Transform and then doing HHSA.

mayavoz

Pytorch based speech enhancement toolkit.

metaaf

Control adaptive filters with neural networks.

murasaki_samples_audio_stm32

Audio Sample projects for STM32CubeIDE

naec

pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

pymushra

pyMUSHRA is a python web application which hosts webMUSHRA experiments and collects the data with python.

pyo

Python DSP module

python-pesq

PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

rpianc

Active Noise Control on Raspberry Pi

selected-topics-in-audio-signal-processing-lecture

Supplementary material for the masters course "Selected Topics in Audio Signal Processing"

sparserandommodedecomposition

Sparse Random Mode Decomposition

stm32f031_template

Basic open template for STM32F031 series microcontrollers. Ongoing proces ...

stm32f4-3dsound

3D Sound Effect on STM32F4

techniki-mikrofonowe

template10

Making Windows 10 apps great again

u.porto-version-of-dsp-education-kit

This is an adaptation of the original ARM University DSP Education Kit (https://github.com/arm-university/Digital-Signal-Processing-Education-Kit) to serve the specificities of an undergraduate signal processing course at the University of Porto - Faculty of Engineering

universal_transcoder

violence-detection-with-c3d

Violence Detection using 3D Convolutional Neural Networks