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audio-denoising icon audio-denoising

Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique

audio-enhancement-with-deep-learning icon audio-enhancement-with-deep-learning

Repo for code used for master thesis at Warsaw University of Technology. Thesis included denoising and upsampling audio files using DNN architectures such as autoencoders, SEGAN and WaveNet.

audio-speed icon audio-speed

This application uses Assemby AI to transcribe pre-recorded audio and determine the speech speed

audio-visual-vad icon audio-visual-vad

Re-implementation of the paper "An End-to-End Multimodal Voice Activity Detection Using WaveNet Encoder and Residual Networks"

audio_generation icon audio_generation

This repository main point is to implement Generative Adversarial Networks (GANs) and Style Transfer Methods that can create new audio samples based on other samples.

audio_speech_eval icon audio_speech_eval

A Streamlit application that allows you to compute various speech and audio metrics

audiobss icon audiobss

Blind source seperation of audio records

audiodenoise icon audiodenoise

c implementation of 《Audio Denoise by Time-Frequency Block Thresholding》

audiomentations icon audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

audioplc icon audioplc

voip packet-loss concealment algorithm derived from WebRTC neteq module

audiosyncer icon audiosyncer

Python app for syncing video with audio in better quality.

auditok icon auditok

An audio/acoustic activity detection and audio segmentation tool

auto_maker icon auto_maker

大家好,这是cv调包侠开源原创项目,您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成,包括:实时数据采集、自动标注、转换、增强,并可以直接进行yolov3、yolov4、yolov5、eficientdet等,它可以直接导出到onnx,通过openvino和tensor-RT加速,除了检测外,还支持分类算法,可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~

av-se icon av-se

Deep-Learning-Based Audio-Visual Speech Enhancement and Separation

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