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Fuzzy Logic SciKit (Toolkit for SciPy)

An open-source CoreML model trained on the ESC10 dataset

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

Performed Sound Source Localization in a Reverberant Enviornment

My implementation of the Urban Sound Research multi-class city sound classification paper

Accompaning repository to our Vibes ACM ISWC 2020 paper

Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

Fuzzy machine learning algorithms implementing the scikit-learn interface.

Recurrent neural network for audio noise reduction

Baseline of DCASE 2020 task 4

Baseline method for sound event localization task of DCASE 2020 challenge

Baseline system for Task 5 (Urban Sound Tagging with Spatiotemporal Context) of the DCASE 2020 Challenge

Speech Enhancement Generative Adversarial Network in TensorFlow

Source Separation on Musical Instrument Sounds

Implement A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement by PyTorch.

Replication code for "RNN-based counterfactual prediction"

[CVPR 2019] Text2Scene: Generating Compositional Scenes from Textual Descriptions

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

Files for courses avalaible on statstools

The code for multi-channel speech enhancement and source separation such as MNMF, MNMF_DP, ILRMA, ILRMA_DP, FastMNMF, FastMNMF_DP, FCA, FastFCA

deep learning based speech enhancement using keras or pytorch, make it easy to use