QinggangSUN / keras_multiple_target_recognition
keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.
☆27Updated 2 years ago
Alternatives and similar repositories for keras_multiple_target_recognition:
Users that are interested in keras_multiple_target_recognition are comparing it to the libraries listed below
- The official implementation of the paper "A spatio-temporal deep learning approach for underwater acoustic signals classification". In th…☆20Updated last year
- An unofficial train-test split for ShipsEar: An underwater vessel noise database☆14Updated 6 months ago
- Source separation of underwater acoustic radiated noise signals from ships with unknown numbers of signals. Using keras 2.2.4 with tenso…☆18Updated last month
- Official implementation of the paper "An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification …☆16Updated 9 months ago
- The PyTorch code for "Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Ex…☆20Updated 10 months ago
- ☆46Updated 4 years ago
- Method for Splitting the DeepShip Dataset☆36Updated 2 months ago
- Histogram Layer Time Delay Neural Networks For Passive Sonar Classification☆14Updated 3 weeks ago
- Learning discriminative and robust time-frequency representations for environmental sound classification: Convolutional neural networks (…☆28Updated 5 years ago
- ☆90Updated last year
- DNN assisted Kalman filter for time domain speech enhancement☆21Updated 4 years ago
- In oceanic remote sensing operations, underwater acoustic target recognition is always a difficult and extremely important task of sonar …☆55Updated 3 years ago
- Official github page of Oceanship Dataset☆19Updated 7 months ago
- Fast & analytical blind source separation algorithm to separate any number of sources using two microphones☆11Updated 7 months ago
- Kalman filtering for speech signal enhancement☆20Updated 8 years ago
- 网络出处：Interactive Speech and Noise Modeling for Speech Enhancement☆28Updated 3 years ago
- implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch☆184Updated 4 years ago
- Speech enhancement based on adaptive wavelet denoising on multitaper spectrum☆13Updated 3 years ago
- A MATLAB implementation of “Multiple Sound Source Counting and Localization Based on TF-Wise Spatial Spectrum Clustering” [TASLP 2019]☆10Updated last year
- Phase-Aware Speech Enhancement with Deep Complex U-Net☆82Updated 5 years ago
- Initial Implementation of paper "Fetal Phonocardiogram Extraction Using Single Channel Blind Source Separation"☆8Updated 5 years ago
- 传统方法语音增强matlab实现 1、谱减法 2、维纳滤波法 3、卡尔曼滤波法☆84Updated 6 years ago
- 通过单层圆形麦克风阵列采集音频，实现MUSIC算法的声源定位。☆12Updated last year
- A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamfo…☆150Updated 3 years ago
- A two-stage polyphonic sound event detection and localization method for both SED and DOA.☆110Updated 2 years ago
- Implementation of Deep Complex UNet Using PyTorch☆155Updated 5 years ago
- A maximum likelihood direction of arrival estimation method for open-sphere microphone arrays in the spherical harmonic domain☆24Updated 5 years ago
- DCCRN with various loss functions☆94Updated 2 years ago
- 水下目标方位估计算法，包括：基于常规波束形成的时间窗方法以及基于卷积神经网络的时间窗方法☆12Updated last year
- 宽带波束形成，鄢社峰优化波束书本复现代码（第八章）☆39Updated last year