Hadryan / TFNet-for-Environmental-Sound-Classification
Learning discriminative and robust time-frequency representations for environmental sound classification: Convolutional neural networks (CNN) are one of the best-performing neural network architectures for environmental sound classification (ESC). Recently, attention mechanisms have been used in CNN to capture the useful information from the aud…
☆29Updated 5 years ago
Alternatives and similar repositories for TFNet-for-Environmental-Sound-Classification:
Users that are interested in TFNet-for-Environmental-Sound-Classification are comparing it to the libraries listed below
- Source separation of underwater acoustic radiated noise signals from ships with unknown numbers of signals. Using keras 2.2.4 with tenso…☆17Updated 3 months ago
- ☆62Updated 6 months ago
- Official implementation of the paper "An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification …☆19Updated 11 months ago
- ☆31Updated 3 months ago
- ☆18Updated last year
- A two-stage polyphonic sound event detection and localization method for both SED and DOA.☆110Updated 2 years ago
- DCASE 2020 Task 2 - Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring☆53Updated 4 years ago
- A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy au…☆65Updated 2 years ago
- Kalman filtering for speech signal enhancement☆20Updated 8 years ago
- ☆53Updated 4 years ago
- A spectro-temporal fusion feature, STgram, with MobileFaceNet For more stable Anomalous Sound Detection☆84Updated last year
- Time-weighted Frequency Domain Audio Representation (TWFR) with GMM Estimator for Anomalous Sound Detection☆22Updated last year
- Method for Splitting the DeepShip Dataset☆39Updated this week
- Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurren…☆22Updated 4 years ago
- Compare AIRES BSS with TRINICON, ILRMA and AuxIVA (online and offline versions)☆73Updated 4 years ago
- Autoencoder(AE) based methods for anomalous sound detection(ASD)☆10Updated 2 years ago
- The official implementation of the paper "A spatio-temporal deep learning approach for underwater acoustic signals classification". In th…☆20Updated last year
- ☆62Updated 5 months ago
- 网络出处:Interactive Speech and Noise Modeling for Speech Enhancement☆28Updated 3 years ago
- transformer based neural network for speech enhancement in time domain☆67Updated 3 years ago
- An implementation of the ICASSP paper 'A fully convolutional neural network for complex spectrogram processing in speech enhancement'☆21Updated 5 years ago
- ☆51Updated 4 years ago
- The code for DCASE2021 task5 submission.☆20Updated 3 years ago
- 基于梅尔频谱的信号分类和识别☆19Updated last year
- ☆24Updated 2 years ago
- 2022 DCASE Challenge☆12Updated 5 months ago
- 把 wave-u-net 网络应用于语音增强领域中☆14Updated 4 years ago
- A python implementation of “SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization” [ICASSP 2022]☆43Updated 5 months ago
- Generative Adversarial Network implemented for the Time-Frequency based Speech Enhancement☆9Updated 10 months ago
- Unofficial Pytorch Lightning Implementation of "A New Framework for CNN-Based Speech Enhancement in the Time Domain"☆18Updated last year