1D-Triplet-CNN

★ 32 Open GitHub ↗

PyTorch implementation of the 1D-Triplet-CNN neural network model described in Fusing MFCC and LPC Features using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals by A. Chowdhury, and A. Ross.

Explore Similar Repositories

urban-sound-classification : Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)
Real-time-Network-Traffic-Classifier-IDS : This project develops and deploys a robust, multi-class Network Intrusion Detection System (IDS) capable of identifying various attack types and normal network traffic. Leveraging a 1D Convolutional Neural Network (CNN) architecture, the system is trained on the comprehensive UNSW-NB15 dataset, which features a wide range of modern attacks.
MTC : Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.
timeseries-rnn : Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.
MultiEchoAI : Myocardial Infarction Detection
// repository documentation