Beach Wreck Ignition: Challenges in opensource voice, linux.conf.au 2019 Christchurch, New Zealand #lca2019
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Updated
Jan 23, 2019 - JavaScript
Beach Wreck Ignition: Challenges in opensource voice, linux.conf.au 2019 Christchurch, New Zealand #lca2019
A cloud-based software that transcribes speech to text, designed for hearing impaired people to communicate with their friends more easily.
This is a Telegram Bot that converts Uzbek voice messages to English text, generates a response in Uzbek using ChatGPT API, and converts the response back to voice using Windows Azure Text to Speech API. Built with Python and Telegram Bot API, it contributes to language processing and translation tools for underrepresented languages.
Welcome to Tech Gallery, a centralized developer repository where I showcase a selection of my projects. Let's connect and innovate together!
Simple real time SpeechToText using your microphone
굴삭기 동작 IVI(Voice-Assistance) 🚚
An Demonstration of PocketSphinx on RaspberryPi3
Personalized voice assistant 'Alice' with Language classification, Speech Recognition, Machine Translation, Restoring Punctuation, Conversational and Speech Synthesis.
Microservices with HTTP, Triton Inference Server, FastApi and Docker-compose
AI-powered Avatar-assistant specialized in tourism and city infrastructure
Python UI application that transcribes speech output from your soundcard. Helpful for hearing impaired people or to create the minutes of meeting. Can be used for dictations, too.
Mobile application of speech recognition and synthetic for the hearing impaired people
Speech recognition using DeepSpeech on the Switchboard dataset
Project provides a real-time streaming speech recognition API wrapped around the most popular speech-to-text API providers.
Easy way to use one of transformer models to do inference locally. Can be done live through mic, or on local files. The first run needs to be online to download necessary models.
Nova, a Java based voice assistant. Runnable on Raspberry Pi.
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