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After we finished pre-processing the data we need to work on the model.
Tacotron 2 is an advanced text-to-speech (TTS) model that has significantly pushed the boundaries of synthetic speech quality and naturalness. Built upon the original Tacotron architecture, Tacotron 2 leverages deep neural networks to convert written text into human-like speech. The model combines an encoder-decoder framework with attention mechanisms, allowing it to accurately align the input text with the corresponding speech output. By learning the complex relationships between linguistic features and acoustic patterns, Tacotron 2 produces speech that exhibits remarkable clarity, intonation, and expressiveness. This state-of-the-art TTS model has proven to be highly effective across multiple languages, enabling applications ranging from accessibility support for visually impaired individuals to voice assistants and audio content production. Tacotron 2 represents a significant advancement in the field of text-to-speech synthesis, bringing us closer to achieving indistinguishable synthetic speech that seamlessly integrates into our daily lives.
Notably, Tacotron 2 boasts exceptional efficiency, requiring relatively fewer resources during the training process. Once trained, this remarkable model excels in audio production, effortlessly delivering impressive results in near real-time those pros met the requirements of the competition.
These videos will help you to gather the data and also train the model: Part1, Part2