LuisKay / Spec_ResNetLinks
Spectrogram is selected as preprocessing feature of audio clips and a feature representation method based on deep residual network (Spec-ResNet) is proposed to detect audio steganography.
☆26Updated 5 years ago
Alternatives and similar repositories for Spec_ResNet
Users that are interested in Spec_ResNet are comparing it to the libraries listed below
Sorting:
- Speaker recognition ,Voiceprint recognition☆53Updated 6 years ago
- Audio data augmentation examples☆34Updated 7 years ago
- SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow☆66Updated 5 years ago
- Pytorch code for the paper 'Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acousti…☆14Updated 5 years ago
- Surrey CVSSP DCASE 2018 Task 2 system☆20Updated 3 years ago
- JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).☆57Updated 3 years ago
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated 2 years ago
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆46Updated 2 years ago
- speaker recognition using keras☆36Updated 3 years ago
- Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.☆74Updated 2 years ago
- The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data☆39Updated 8 years ago
- Adversarial attack and defense strategies for deep speaker recognition systems☆42Updated 4 years ago
- Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification☆29Updated 6 years ago
- Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…☆223Updated 2 years ago
- A TensorFlow implementation of light convolutional neural network (LCNN)☆12Updated 7 years ago
- Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features☆25Updated last year
- Code for our paper "Acoustic Features Fusion using Attentive Multi-channel Deep Architecture" in Keras and tensorflow☆26Updated 7 years ago
- implement Wave-U-Net by pytorch☆57Updated 7 years ago
- PyTorch implementation of the 1D-Triplet-CNN neural network model described in Fusing MFCC and LPC Features using 1D Triplet CNN for Spea…☆32Updated 6 years ago
- This is the implementation of the paper "Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification".☆42Updated 2 years ago
- Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282☆96Updated 7 years ago
- SE-Resnet+AMSoftmax for Speaker Verification☆47Updated 7 years ago
- Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments☆111Updated last year
- Classification of Urban Sound Audio Dataset using LSTM-based model.☆77Updated 3 years ago
- some scripts for asvspoof2017☆11Updated 7 years ago
- ☆41Updated 5 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆97Updated 5 years ago
- Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to id…☆69Updated 5 years ago
- Include some core functions and model to handle speech separation☆156Updated 4 years ago
- ICASSP 2021 accepted paper☆20Updated 4 years ago