Name: Florian Quirin
Type: User
Company: ByteMind
Bio: Passionate developer of "things", e.g. REST APIs, (speech) interfaces, (web) apps, data analysis methods and homeserver in HTML5, Java, Matlab, Cordova, ...
Location: Germany
Blog: http://bytemind.de
Florian Quirin's Projects
The official website of 1x Engineers around the world
Basic python tornado app for handling websocket audio
A collection of useful Linux bash code snippets that I keep looking up over and over again ;-)
Files to setup your own home server for websites and webservices with SSL
Core tools shared between ByteMind Java programs.
Library to easily build webservices including account management.
ByteMind library for JavaScript
A template for a webapp that has a basic layout, navigation and can communicate with the ByteMind webservice
Apache Cordova Plugin inappbrowser (fork)
Cordova Local-Notification Plugin (fixed fork)
Cordova NavigationBar Plugin
Apache Cordova
General purpose intent shim layer for cordova appliations on Android. Handles various techniques for sending and receiving intents.
Various Docker build scripts
Web app for keyword spotting using TensorflowJS
I.L.A. the Intelligent Learning Assistant
Java tools to do natural language processing like NER and intent classification on short sentences
Adaptation of Stanford CoreNLP to do NER on short command-and-control sentences
Create and adapt n-gram and JSGF language models, e.g. for Kaldi-ASR nnet3 chain models from Zamia-Speech
End to end text to speech system using gruut and onnx
MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java
A fast local neural text to speech engine for Mycroft
Scan for Eddystone beacons using Node.js
Microservice (tiny server) for 'ytmusicapi' compatible-ish with Youtube Data API v3
Installation, test and evaluation of Scribosermo speech-to-text engine
Framework for server-based, extendable, private, intelligent assistants
Experiments to test different speech recognition systems for SEPIA Framework
Parse and convert numbers written in French, English or Spanish into their digit representation.
πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production