Tacotron-2 and tacotron
These are competing implementations of the same foundational text-to-speech architecture, with Tacotron-2 representing DeepMind's improved successor model while the original Tacotron serves as an alternative baseline implementation.
About Tacotron-2
Rayhane-mamah/Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation
This project helps generate natural-sounding speech from written text. You provide text as input, and it produces an audio file of that text spoken aloud. It's designed for researchers and developers working on advanced text-to-speech systems who need to experiment with and build upon state-of-the-art neural network architectures.
About tacotron
Kyubyong/tacotron
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
This project helps you transform written text into natural-sounding spoken audio. You input text, and it produces an audio file of that text being read aloud, much like an audiobook. This is ideal for content creators, educators, or anyone needing to generate speech from text for various applications.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work