A Python package for anomaly detection in distributed acoustic sensing (DAS) datasets.

Python notebook for calculating completeness magnitudes and b-values for earthquake catalogues

Collection of popular and reproducible image denoising works.

Microseismic event detection on fiber-optic data using machine learning

PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

Example script and necessary functions to perform curvelet denoising using MATLAB

DAS Waveform Modeling and Inversion

Python framework for Distributed Acoustic Sensing (DAS).

A collection of various deep learning architectures, models, and tips

Apply diffusion models for denoising seismograms.

A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result.

Processing functions for Fiber Optic Distributed Sensing (FODS) data.

Official reproducible material for Noise attenuation in distributed acoustic sensing data using a guided unsupervised deep learning network

SeisBench - A toolbox for machine learning in seismology

A DASCore tutorial for SEG

Introduction to Speech Processing

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Voice Activity Detection (VAD) using deep learning.

A statistical model-based Voice Activity Detection

This is the Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method.

Voice activity detection (VAD) paper and code（From 198*~ ）and its classification.

Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold

python script for voice activity detection.

Filtering unwanted background noise from .wav files using different algorithms (Moving Average, Frequency Domain Filter and Spectral Subtraction)