Record audio and save a transcription to your system's clipboard with ctranslate2 and faster-whisper.
-
Updated
Oct 16, 2024 - Python
Record audio and save a transcription to your system's clipboard with ctranslate2 and faster-whisper.
Unlock the potential of Google's Gemini AI models with this versatile toolkit. Offering seamless chat, text generation, and multimodal interactions, supporting various file types, including PDF's, images, videos, audio, text and more. Enjoy real-time responses, customizable parameters, and easy integration for diverse AI tasks.
OCTRA is a web-application for the orthographic transcription of audio files.
Generate an accurate, timestamped transcript given an audio file and its text using Google Cloud's Speech-to-Text API via gRPC.
Prompt Management System for Interaction with the ChatGPT API
Uses the powerful WhisperS2T and Ctranslate2 libraries to batch transcribe multiple files
A portal that offers a transcription chain for multi upload and processing of audio files using ASR, OCTRA, MAUS and EMU-webApp.
A simple Django project to demonstrate Google Speech Recognition.
A Flask API to convert speech to text using Offline Transcription methods - CMU Sphinx and DeepSpeech.
A mobile app made with flutter, this app is made to teach and guide children on how to read. This app computes their wpm(words per minute) and the accuracy of their reading.
Converts speech to text from any audio/video file
Streamlined GUI for effortless audio transcription.
An audio transcription code base for use on @MicroPasts
Perl program to split audio stream into tracks for burning to cd. Wiki Documentation
WhisperAudioTranscriber is an asynchronous audio recording and transcription tool built using Python. It utilizes the Hugging Face API, specifically leveraging the powerful capabilities of OpenAI's Whisper model
Add a description, image, and links to the audio-transcribing topic page so that developers can more easily learn about it.
To associate your repository with the audio-transcribing topic, visit your repo's landing page and select "manage topics."