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Shaun Holt's Projects

tesla_stock_prediction icon tesla_stock_prediction

Using time series analysis and natural language processing to predict Tesla stock price changes

tgram icon tgram

Utilities to built telegram bot powered by python-telegram-bot

three-js-music-visualiser icon three-js-music-visualiser

Using THREE.js, WebaudioAPI and dat.GUI, a simple 3D music visualiser is created. Meshes are updated via frequency data, and dat.GUI provides easy parameter tweaking.

three-ui icon three-ui

UI system for three.js built with Io-GUI.

threejs-app icon threejs-app

Some opinionated structure for a complex/scalable ThreeJS app

threejs-gui icon threejs-gui

A THREE.js based GUI for data send via a WebSocket.

tooloop-os icon tooloop-os

Tooloop OS is a minimal installation of Ubuntu Server with some post-install customization to fit the needs of public multimedia installations.

toxcore icon toxcore

The future of online communications.

toxstatus icon toxstatus

Status page that keeps track of Tox bootstrap nodes

toxy icon toxy

Tox client for Windows.

transparentiron icon transparentiron

transparentIron example my code is under MIT, iron and kha have different licenses please check.

try-haxe icon try-haxe

A small webapp that allows to test Haxe online

tts icon tts

A simple tool to demo text-to-speech using various services' voices. HTML5 and Vanilla JS.

tts-api icon tts-api

Text to speech REST API for multiple TTS engines

tts-dev-studio icon tts-dev-studio

A graphical editor for creating and editing Text-to-Speech language and voice files.

tts-lid icon tts-lid

Text-to-speech (TTS) synthesis systems are of benefit towards learning new or foreign languages. These systems are currently available for various major languages but not available for low-resourced languages. Scarcity of these systems may lead to challenges in learning new languages specifically low-resourced languages. Development of language-specific systems like TTS and Language identification (LID) have an important task to address in mitigating the historical linguistic effects of discrimination and domination imposed onto low-resourced indigenous languages. This paper presents the development of a multi-language LID+TTS synthesis system that generate audio of input text using the predicted language in four South African languages, namely: Tshivenda, Sepedi, Xitsonga and IsiNdebele. On the front-end, is the LID module that detects language of the input text before the TTS synthesis module produces output audio. The LID module is trained on a 4 million words dataset resulted with 99% accuracy outperforming the state-of-the-art systems. A robust method for building TTS voices called hidden Markov model method is used to build new voices in the selected languages. The quality of the voices is measured using the mean opinion score and word error rate metrics that resulted with positive results on the understandability, naturalness, pleasantness, intelligibility and overall impression of the system of the newly created TTS voices. The system is available as a website service.

ttyd icon ttyd

Share your terminal over the web

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