pratyush-prateek / environmental_sound_classification_1DCNNLinks
Classification of environmental sounds using 1D convolutional Neural network
☆36Updated 5 years ago
Alternatives and similar repositories for environmental_sound_classification_1DCNN
Users that are interested in environmental_sound_classification_1DCNN are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the 1D-Triplet-CNN neural network model described in Fusing MFCC and LPC Features using 1D Triplet CNN for Spea…☆31Updated 5 years ago
- Learning discriminative and robust time-frequency representations for environmental sound classification: Convolutional neural networks (…☆30Updated 5 years ago
- Audio classification via transfer learning☆35Updated 6 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆109Updated 4 years ago
- SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow☆65Updated 5 years ago
- ☆25Updated 2 years ago
- ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions 🚗 🚃☆18Updated last year
- Classification of Urban Sound Audio Dataset using LSTM-based model.☆76Updated 3 years ago
- DCASE 2020 Task 2 - Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring☆58Updated 5 years ago
- Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transform…☆257Updated 5 years ago
- Tensorflow implementation of a CycleGAN with a 1D Convolutional Neural Network and Gated units with options for the residual connections,…☆23Updated 7 years ago
- CNN 1D vs 2D audio classification☆104Updated 6 years ago
- DCASE2020 Challenge Task 2 baseline system☆110Updated 2 years ago
- Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound☆34Updated 3 years ago
- Autoencoder-based baseline system for DCASE2021 Challenge Task 2.☆28Updated 4 years ago
- DCASE2020 Task2 Self-supervised learning solution☆33Updated 4 years ago
- ☆59Updated last year
- Audio MNIST Classification using 1D-CNN, 2D-CNN, GAN+2D-CNN, CVN+RandomForest, and LSTMs.☆14Updated 3 years ago
- Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection w…☆194Updated 3 years ago
- Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a …☆252Updated 2 years ago
- Audio classification is a popular topic, here I implement several models using TenserFlow and Keras.☆24Updated 5 years ago
- A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LST…☆53Updated 2 years ago
- Pytorch code for "Rethinking CNN Models for Audio Classification"☆129Updated 4 years ago
- Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282☆96Updated 7 years ago
- Implementation of IEEE Access paper - Lung Sound Recognition Algorithm Based on VGGish-BiGRU☆30Updated 5 years ago
- Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.☆70Updated 4 years ago
- MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.☆21Updated 4 years ago
- This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: sp…☆131Updated 5 years ago
- Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.☆73Updated last year
- ☆54Updated 5 years ago