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czi_image_tools

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

exemplo_recipes

udemy course django

flask_ajax_jquery

The code for all the YouTube videos published on YouTube.

lapixdl

Python package with Deep Learning utilities for Computer Vision

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

wav_split

PYTHON: Split a wav file with a start and end time.

zipwavextract

Extracting Audio/Speech files in wav format from ZIP files.