An NVDA add-on to split screen reader and audio from other programs to different sound channels

Overview

Sound Splitter

  • Authors: Joseph Lee and contributors
  • NVDA compatibility: 2019.3 and later

This add-on, partly based on Tony's Enhancements by Tony Malykh, adds the ability to split audio from NVDA and other sounds onto separate audio channels.

Commands:

  • Alt+NvDA+S: toggle sound splitter. If enabled, NVDA will be heard through the right channel.

Sound S;litter settings

You can configure add-on settings from NVDA menu/Preferences/Settings/Sound Splitter catregory.

  • Split NVDA sound and applications' sounds into left and right channels: checkinb this checkbox will enable sound splitting feature.
  • Switch left and right during sound split: by default, NVDA will be heard through the right channel if sound splitting is on. You can instead hear NVDA through the left channel by checking this checkbox.
You might also like...
Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting
Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting

StochFuzz: A New Solution for Binary-only Fuzzing StochFuzz is a (probabilistically) sound and cost-effective fuzzing technique for stripped binaries.

BarcodeRattler - A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC

Barcode Rattler A Raspberry Pi Powered Barcode Reader to load a game on the Mist

Python project to take sound as input and output as RGB + Brightness values suitable for DMX

sound-to-light Python project to take sound as input and output as RGB + Brightness values suitable for DMX Current goals: Get one pixel working: Vary

I have created this Virtual Paint Program, in this you can paint(draw) on your screen using hand gestures, created in Python-3 using OpenCV and Mediapipe library. Gestures :-  Index Finger for drawing and Index+Middle Finger for changing position and objects. Code for the paper
Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

Unsupervised Contrastive Learning of Sound Event Representations This repository contains the code for the following paper. If you use this code or pa

[NeurIPS 2020] Official repository for the project
[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"

Listening to Sounds of Silence for Speech Denoising Introduction This is the repository of the "Listening to Sounds of Silence for Speech Denoising" p

Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.

Accompanying code for the paper Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.

Sound-guided Semantic Image Manipulation - Official Pytorch Code (CVPR 2022)
Sound-guided Semantic Image Manipulation - Official Pytorch Code (CVPR 2022)

🔉 Sound-guided Semantic Image Manipulation (CVPR2022) Official Pytorch Implementation Sound-guided Semantic Image Manipulation IEEE/CVF Conference on

Comments
  • Endless splitting

    Endless splitting

    I started using this addon 2 days back, and found it very nice! But I started noticing that even after closing NVDA the audio of the each app, except NVDA still splitted and I nedd to turn on and off the splitter to audio get back for both channels, for each app eg. Whatsapp, Chrome and on.... I noticed it was an bug until version 22.2 but Im using the version 22.03.01. NVDA version: 2021.3.5 Windows: 21H2 (SO compilation 22000.556) ©

    opened by felanfranchi 2
Releases(23.01)
Owner
Joseph Lee
Joseph Lee
Split your patch similarly to `git add -p` but supporting multiple buckets

split-patch.py This is git add -p on steroids for patches. Given a my.patch you can run ./split-patch.py my.patch You can choose in which bucket to p

null 102 Oct 6, 2022
This repo is a C++ version of yolov5_deepsort_tensorrt. Packing all C++ programs into .so files, using Python script to call C++ programs further.

yolov5_deepsort_tensorrt_cpp Introduction This repo is a C++ version of yolov5_deepsort_tensorrt. And packing all C++ programs into .so files, using P

null 41 Dec 27, 2022
SAAVN - Sound Adversarial Audio-Visual Navigation,ICLR2022 (In PyTorch)

SAAVN SAAVN Code release for paper "Sound Adversarial Audio-Visual Navigation,IC

YinfengYu 10 Aug 30, 2022
Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

Fu Pengyou 50 Jan 7, 2023
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Diverse Image Captioning with Context-Object Split Latent Spaces This repository is the PyTorch implementation of the paper: Diverse Image Captioning

Visual Inference Lab @TU Darmstadt 34 Nov 21, 2022
EPSANet:An Efficient Pyramid Split Attention Block on Convolutional Neural Network

EPSANet:An Efficient Pyramid Split Attention Block on Convolutional Neural Network This repo contains the official Pytorch implementaion code and conf

Hu Zhang 175 Jan 7, 2023
A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

Awesome Pretrained StyleGAN2 A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution. Note the readme is a

Justin 1.1k Dec 24, 2022
Using machine learning to predict and analyze high and low reader engagement for New York Times articles posted to Facebook.

How The New York Times can increase Engagement on Facebook Using machine learning to understand characteristics of news content that garners "high" Fa

Jessica Miles 0 Sep 16, 2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation This is a demo implementation of BYOL for Audio (BYOL-A), a self-sup

NTT Communication Science Laboratories 160 Jan 4, 2023