amogh3892 / Environmental-sound-recognition-using-combination-of-spectrogram-and-acoustic-features
Classification of environmental sounds using first order statistics and GLCM (Gray-Level Co-Occurrence Matrix ) features of a spectrogram
☆24Updated 4 years ago
Alternatives and similar repositories for Environmental-sound-recognition-using-combination-of-spectrogram-and-acoustic-features:
Users that are interested in Environmental-sound-recognition-using-combination-of-spectrogram-and-acoustic-features are comparing it to the libraries listed below
- Source code complementing our paper for acoustic event classification using convolutional neural networks.☆67Updated 4 years ago
- Bag-of-Features Acoustic Event Detection☆14Updated 8 years ago
- Estimate the number of concurrent speakers from single channel mixtures to crack the "cocktail-party” problem.☆22Updated 5 years ago
- The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data☆38Updated 7 years ago
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated last year
- ☆54Updated 5 years ago
- 1st place solution to the DCASE 2019 - Task 5 - Urban Sound Tagging☆30Updated 4 years ago
- Audio data augmentation examples☆34Updated 6 years ago
- A collection of utilities for Detection and Classification of Acoustic Scenes and Events☆128Updated 2 weeks ago
- Denoise Speech (Enhanced Speech or Speech enhancement) by Deep Learning (Using Keras and Tensorflow)☆39Updated 7 years ago
- A tensorflow implementation of my paper Combining beamforming and deep neural networks for multi-channel speech extraction☆62Updated 4 years ago
- Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.☆36Updated 5 years ago
- Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification☆29Updated 5 years ago
- A set of speech feature extraction functions for ASR and speaker identification written in matlab.☆43Updated 8 years ago
- Code and audio files associated with the paper "Speech Enhancement with Variance Constrained Autoencoders" presented at Interspeech 2019☆15Updated 5 years ago
- ☆35Updated 6 years ago
- Task 4 Large-scale weakly supervised sound event detection for smart cars☆65Updated 3 years ago
- Here, an algorithm to classify environmental sounds with the aim of providing contextual information to devices such as hearing aids for …☆21Updated 10 years ago
- This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building mach…☆34Updated 7 years ago
- An Experimental Study on Speech Enhancement based on DNN.☆13Updated 6 years ago
- ☆26Updated 7 years ago
- Tensorflow implementation for Speech Enhancement (DDAE)☆48Updated 6 years ago
- Keras implementation of speech enhancement based on LSGAN☆20Updated 7 years ago
- Universal Deep neural network based speech enhancement demo and tools, well pre-trained DNN model☆64Updated 2 years ago
- Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"☆89Updated 4 years ago
- Surrey CVSSP DCASE 2018 Task 2 system☆19Updated 2 years ago
- Python 3.5 and Windows version of Speech Enhancement using DNN by Yong Xu and Qiuqiang Kong☆15Updated 6 years ago
- ESC: Dataset for Environmental Sound Classification - paper replication data☆78Updated 7 years ago
- ☆15Updated 4 years ago
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago