Generate TikTok Text-to-Speech voices in your browser
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Updated
Jul 12, 2024 - JavaScript
Generate TikTok Text-to-Speech voices in your browser
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
Text to speech package for Golang.
I will share about Machine Learning and Deep Learning.
A simple tool to demo text-to-speech using various services' voices. HTML5 and Vanilla JS.
Text to Speech NativeScript plugin for Android & iOS 📢
Whooby is a text-to-speech android application to communicate within a group or community .
The only Text to Speech Telegram Inline Bot
Text to speech is an emerging zone of AI. This repository helps to create a dataset with audio and transcripts for personalized text to speech .
Simple application for continuous speach to text without google dialog
Text To Speech Demo in ReactJS Application using Azure Avatar AI Service.
Code snippets showing how to record I2S audio and store as .wav file on ESP32 with SD card, how to transcribe pre-recorded audio via Deepgram SpeechToText API, how to generate audio from text via TextToSpeech API from OpenAI a/o Google TTS. Triggering ESP32 actions via Voice.
GLUE is a lightweight, Python-based collection of scripts to support you at succeeding with speech and text use-cases based on Microsoft Azure Cognitive Services.
Text to Speech for Android Application with Google API
💻🔊 A chrome extension that converts text on the web to speech. This was my final project to the Harvard's CS50x course.
Google TextToSpeech 2 mp3
YukiChat is a web application that allows users to have a natural, oral conversation with OpenAI's GPT language model using text-to-speech (TTS) and speech-to-text (STT) technologies. With YukiChat, users can ask ChatGPT any question, and the AI will respond with a natural, human-like answer.
The project is about translating American Sign Language into English language. It uses Computer Vision and Deep Learning to predict the ASL alphabet and forms sentences on the basis of prediction. It uses text to speech to convert the predicted word into speech. The project was implemented at MNNIT Hack36 Allahabad Hackathon.
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