Jupyter notebook and Streamlit application for Whisper model from OpenAI

This Jupyter notebook/lab allows you to easily use the Virlow Speech-to-Text API.

Whisper AI is an automated speech recognition (ASR) system. It is open source and can be access via GitHub or HuggingFace. This is the simplest way to implement Whisper AI via Github using python Google Colab Notebook.

In this notebook, we will create to convert an audio file of an English speaker to text using a Speech to Text API using IBM-Watson. Then we will translate the English version to a Spanish version using a Language Translator API.

Slides to talk at PyTexas 2024

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a HEARING PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).

Automatic audio transcriber notebook based on Whisper

Download YouTube Subtitles using youtube-dl with the option to duplicate a Google Colab Notebook directly

This repository provides a Jupyter notebook for (CTC) based Automatic Speech Recognition (ASR) system using TensorFlow and Keras. The primary focus of this repository is to demonstrate the implementation of a CTC ASR model and to show how to train it effectively on the "Yes No" dataset.

A Python notebook that walks you through how to transcribe audio files into text using the Deepgram API.

jupyter notebooks to fine tune whisper models on Vietnamese using Colab and/or Kaggle and/or AWS EC2

In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.

This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.