#Text to Speech

This repository offers a PyTorch implementation of FastSpeech 2 using NVIDIA's Tacotron 2 preprocessing and MelGAN vocoder for enhanced audio synthesis. It leverages Espnet's framework for FastSpeech 2 replication with room for performance adjustments. Key features include phoneme-based synthesis and TorchScript export. Contributions are invited to extend its high-quality audio promise. Essential documentation and samples are provided for further exploration.

This unofficial PyTorch implementation of the VALL-E model uses Neural Codec Language Models for zero-shot text-to-speech synthesis. It supports training on a single GPU, making it accessible for development. Safeguards are implemented to prevent misuse due to its ability to replicate speaker identity. Detailed guides cover installation requirements and training for English and Chinese datasets. The project includes advanced features like NAR Decoder prefix modes for refined synthesis outputs, providing valuable resources for researchers and developers in text-to-speech technology.

Speech Note is a versatile application available for Linux desktop and Sailfish OS that allows offline note-taking, reading, and translation in multiple languages using technologies like Speech to Text, Text to Speech, and Machine Translation. The application emphasizes privacy by processing all data locally, avoiding internet connections and external data transmission. It harnesses powerful engines, including Coqui STT, Vosk, and Bergamot Translator, and offers customization of language models to suit user needs. Speech Note can be installed via Flatpak or AUR for Arch Linux, facilitating multilingual communication while safeguarding privacy.

Amphion is an open-source toolkit designed to enhance reproducible research in audio, music, and speech generation. It offers essential features such as text-to-speech and singing voice conversion, making it a useful tool for researchers. The toolkit includes high-quality vocoders and evaluation metrics, facilitating advanced audio signal production. Amphion's platform enables the transformation of diverse inputs into audio and aids in developing large-scale speech synthesis datasets.