**Tacotron 2** is an open-source deep learning framework for **text-to-speech (TTS) synthesis**. It converts written text into **natural-sounding speech** by generating mel-spectrograms from input text, which are then converted into audio using a vocoder (like WaveGlow or HiFi-GAN). Tacotron 2 enables developers and researchers to create **customized speech synthesis pipelines**, producing human-like voice outputs for various applications.

Features of Tacotron 2:

• Generates high-quality, natural-sounding speech from text inputs.
• Uses sequence-to-sequence modeling with attention for flexible text handling.
• Works with Python and PyTorch, supporting both CPU and GPU environments.
• Supports integration with vocoders like WaveGlow or HiFi-GAN for waveform synthesis.
• Widely used in AI research, virtual assistants, accessibility tools, and voice applications.

To check the installed version of Tacotron 2 in your environment:

 
$ sudo su
 $ sudo apt update
 $ source /opt/tacotron2/venv/bin/activate
 $ git rev-parse HEAD 
 $git --version

Disclaimer: Tacotron 2 is designed for high-quality text-to-speech generation. The naturalness of output depends on proper configuration, pre-trained model selection, and input text quality. Always refer to the official repository for the latest updates and instructions.