Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts
-
Updated
Feb 6, 2024 - Python
Experimental code: sound file preprocessing to optimize Whisper transcriptions without hallucinated texts
Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique
Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.
Real-time speech enhancement mobile app using Nested U-Net
Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.
Deep neural network for low-dose electron micrograph denoising
Modified version of OpenVINO noise_suppression_demo. This version can handle real-time audio stream from microphone and output to headphone.
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
Image enhancement and impulsive noise removal using unsharp mask and adaptive image processing
Program sederhana dengan menggunakan Bahasa Pemrograman Python dan library Open-CV untuk membantu tenaga medis dalam mendeteksi seseorang terkena penyakit covid-19 atau tidak. Program sibuat untuk meningkatkan kualitas citra input menjadi lebih baik dengan meningkatkan kontras dan mengurangi noise, serta tenaga medis juga dapat fokus pada bagian…
Some random python codes
The code for Curvature Anomaly Detection (CAD), kernel CAD, inverse CAD (iCAD), and kernel iCAD for anomaly detection and prototype selection. It uses the theory of Polyhedron Curvature or angular defect of polyhedron.
JUMPsilactmt Version 0.0.1
Implementation of Linear Filtering & Noise Filtering
This repository contains the code for Deep Residual Feature Extraction and Spatial-Frequency Attention based Image Denoiser.
[Pillow] Denoising Images retrieved from Confocal Calcium Imaging.
Add a description, image, and links to the noise-removal topic page so that developers can more easily learn about it.
To associate your repository with the noise-removal topic, visit your repo's landing page and select "manage topics."