Tabla de Contenidos: “…-- Traditional techniques - concatenative and parametric models -- A few reminders on spectrograms and the mel scale -- TTS in deep learning -- WaveNet, in brief -- Tacotron -- The encoder -- The attention-based decoder -- The Griffin-Lim-based postprocessing module -- Details of the architecture -- Limitations -- Implementation of Tacotron with Keras -- The dataset -- Data preparation -- Preparation of text data -- Preparation of audio data -- Implementation of the architecture -- Pre-net -- Encoder and postprocessing CBHG -- Attention RNN -- Decoder RNN -- The attention mechanism -- Full architecture, with attention -- Training and testing -- Summary -- Chapter 13: Deploying Trained Models -- Increasing performance -- Quantizing the weights -- MobileNets -- TensorFlow Serving -- Exporting the trained model -- Serving the exported model -- Deploying in the cloud -- Amazon Web Services -- Google Cloud Platform -- Deploying on mobile devices -- iPhone -- Android -- Summary -- Other Books You May Enjoy -- Index…”