josephsefara Goto Github PK
Name: Joseph Sefara
Type: User
Bio: Data Science Engineer
Twitter: josephsefara
Location: South Africa
Blog: speechtech.co.za
Name: Joseph Sefara
Type: User
Bio: Data Science Engineer
Twitter: josephsefara
Location: South Africa
Blog: speechtech.co.za
AfricanWordNet: Implementation of WordNets for African languages. Citation paper "Practical Approach on Implementation of WordNets for South African Languages" https://www.aclweb.org/anthology/2021.gwc-1.3.pdf
AI_ML_Workshops
To be uploaded.
COVID 19 Data and Dashboard for South Africa
Port of the Festival-lite (Flite TTS) speech-synthesis engine to Android
Automatically exported from code.google.com/p/language-detection
Elegant and Easy Tweet Preprocessing in Python
Solutions for projecteuler
Small python programs that I wrote to pass the test.
South African Shapefiles, GIS data and other useful mapping stuff (2011)
Utils for streaming large files (S3, HDFS, gzip, bz2...)
A chatbot developed by SpeechTech SA for under-resourced languages.
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.
Voice Emotion Detector that detects emotion from audio speech using one dimensional CNNs (convolutional neural networks) using keras and tensorflow on Jupyter Notebook.
Webpage/demos for the What-If Tool
Development of Yorùbá gender recognition system.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.