Create Stunning Voice Projects with TTS Kokoro

Explore Hugging Face, its Transformers library for NLP, and the hub that hosts free models and datasets, with a focus on the Kokoro model and spaces for collaboration.

Explore Kokoro on HuggingFace, revealing training on under 100 hours of audio with 82 million parameters, and access starter code, release notes, and open-source Espeak ng resources.

Explore Kokoro in the TTS spaces arena. Compare two models reading text, vote on which sounds better, and watch Kokoro rise to the top of the leaderboard.

Explore Kokoro basics by running code in Google Colab, installing dependencies, loading the model, and generating audio from the notebook while viewing results.

Install dependencies for Kokoro tts by enabling git lfs, cloning the repository, and installing espeakng, PyTorch, transformers, scipy, and munch; learn how phonemes drive text to audio.

Import models and PyTorch, configure the device (GPU or CPU), load Kokoro V19, and select the default American female voice AF to run code in Google Colab.

Kokoro basics 4 demonstrates using the generate function to produce audio and phonemes from text, with voice name AF, language American English, and a voice pack.

Display model-generated text-to-speech output with a Hugging Face audio object, set rate and autoplay, and print phonemes to show pronunciation.

Learn how to export audio to multiple formats, including Woff (uncompressed), MP3, FLAC, and Ogg, and prepare to implement exporting code for different formats.

Explore uncompressed wav for studio recording and editing, compare with mp3's lossy compression, flac's lossless compression for archiving, and open-source ogg for metadata-enabled web audio.

Install dependencies to export audio to various formats and download them to your local computer by installing soundfile and ffmpeg-python, importing soundfile as SF and os, then running code cells.

Define and create a save directory, set up output paths, and convert the audio to a wav file using sf write, handling existing directories without errors.

Learn to convert a wav to mp3 using ffmpeg, specify input and output paths, enable overwrite, and handle a non-critical error while preparing for later download.

Convert wav to ogg to preserve sound quality with less compression, using the web file for conversion. Write the output with overwrite enabled and verify it works before downloading.

Download and test audio files in Google Colab by importing files, using the download function, and verifying ogg, flac, mp3, and wav formats.

Learn to fetch news headlines via a free news API using a fetch news function, handling JSON data, get requests, and error handling with try-except in Python.

Fix errors by removing an extra item and import request, then recheck the code to ensure it runs smoothly.

Register or log in to News API, obtain and copy your API key, save it securely, and come back to continue building voice projects with TTS Kokoro.

Master crafting api requests with a url, using a valid api key to fetch top headlines from News API for British politics and American sports; consult the docs.

Identify a mistaken headline category mapping and fix the url errors, ensuring the headline correctly aligns with its category.

Execute the built function to fetch news using a British voice, test with the British News API, then switch to the American News API and run it with no errors.

Generate audios in British and American voices for top headlines in news, politics, and sports. Use the generate function with separate audio and phoneme outputs and load the voice pack.

Listen to british and american voice narrations with the Kokoro TTS to explore top politics, sports, and current events headlines.