Popular GitHub Repositories for Speechtotext

SDK & Sample to do speech recognition using websockets in Javascript

A SpeechToText application that uses OpenAI's whisper via faster-whisper to transcribe audio and send that information to VRChats textbox system and/or KillFrenzyAvatarText over OSC. Also supports various other methods like OBS via Browsersource and a SteamVR overlay!

A social media platform with a friend recommendation engine based on personality trait extraction

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 (STT) API, how to generate audio from text via TextToSpeech (TTS) API from OpenAI a/o SpeechGen 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.

ESP32-based Open AI Voice chat device (similar ChatGPT). Recording questions with a microphone, transcribing via Deepgram STT, then sent to Open AI. Response is played with AI voices on speaker. Supporting ongoing dialogues with saved history for follow-up questions. User defined "system prompts" for own "personalities" and dedicated use cases.

Fast C++ implementation of ESOLA using KFRLib, can be used for online time-stretch augmentation during SpeechToText training.

Speech to Text with Google for Android

? MiksaGPT, part of the 'Miksa' project, is a groundbreaking voice assistant utilizing Claude 3 and APIs from 'anthropic' and 'elevenlabs'. It enables real-time Opus two-way voice chat with seamless interruptibility, built with Flutter and available for free on GitHub.

Generating texts from your voice then images form the texts

Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. Moreover, it enables transcription in multiple languages, as

Este ejemplo muestra cómo utilizar el servicio Azure SpeechToText así como el servicio de TextAnalytics para convertir voz a texto y analizar el sentimiento del texto.