This is the Linux app named tacotron whose latest release can be downloaded as tacotronsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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tacotron
DESCRIPTION
Tacotron is a heavily documented TensorFlow implementation of the end-to-end text-to-speech architecture introduced in the original Tacotron paper. It converts text into speech by learning acoustic representations and attention-based alignments from paired text and audio. The repository includes preprocessing, model modules, training, evaluation, and synthesis scripts. Example training setups use LJ Speech, Nick Offerman audiobook recordings, and the World English Bible dataset. Users can monitor loss and attention plots during training to evaluate alignment quality. Pretrained checkpoints and generated samples are provided as references for reproducing or studying the model's behavior.
Features
- End-to-end text-to-speech synthesis
- TensorFlow Tacotron implementation
- Audio and text preprocessing
- Training and evaluation scripts
- Attention alignment visualization
- Pretrained checkpoints and speech samples
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tacotron.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
