A set of jupyter notebooks

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

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

Jupyter notebook for turning textual dialogue into voice audio.

Bark - test notebook

A notebook created for training StableTTS models in Google Colab easily!

Speakeasy GPT is a Jupyter notebook that utilizes several natural language processing utilities to provide a seamless and low-latency speech interface to ChatGPT and other large language models.

This is a notebook from kaggle I had made that allows user's to refine and clean up their tacotron 2 models in terms of the audio output. In order to use this notebook you'll require a Tacotron 2 model fully trained, with the dataset used and the transcription and/or validation file too.

Currently this is not working as the repo used to make the notebook work is under-development, This is a notebook from Kaggle I had made that allows user's to make their own AI voices using 16bit PCM, 22050 HZ WAV files on the Neural networks provided by NVIDIA's creation of Tacotron 2 which has been further developed and worked on by the team a…

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

This is a notebook from kaggle I had made that allows user's to make their own AI voices using 16bit PCM, 22050 HZ WAV files on the Neural networks provided by NVIDIA's creation of Tacotron 2.

This is a notebook from Kaggle I had made that allows user's to make their own AI voices using 16bit PCM, 22050 HZ WAV files on the Neural networks provided by NVIDIA's creation of Tacotron 2 that has been slightly modified to use arpabet to help the model enunciate words better when synthesizing.