Text-to-Speech with FastSpeech2

Overview:

The Text-to-Speech with FastSpeech2 app allows users to convert text into speech using the FastSpeech2 model. It provides a simple and intuitive interface where users can enter text and generate corresponding speech. The app also offers a download link to save the generated audio file.

Description:

The Text-to-Speech with FastSpeech2 app utilizes the FastSpeech2 model, a state-of-the-art text-to-speech model. Users can input any text they want to convert into speech using the provided text area. Once the text is entered, clicking on the "Generate Speech" button triggers the app to process the text and generate the corresponding speech.

The generated speech is then played back through an embedded audio player, allowing users to listen to the result. Additionally, a download link is provided for users to save the audio file locally. This way, users can easily access and share the generated speech for their specific needs.

The FastSpeech2 model leverages the power of artificial intelligence and deep learning to deliver high-quality and natural-sounding speech synthesis. It has been trained on a large dataset and fine-tuned for optimal performance. The app harnesses the model's capabilities to provide users with a seamless and efficient text-to-speech experience.

Programming Language:

Python

Libraries:

Stream Lit, Transformer, Fair Seq, PyTorch.

Project Demo

We can develop projects with similar requirements tailored to your needs, or create custom solutions specific to your requirements. This demo showcases the coding and functionality of the project, and we can customize the user interface (UI) according to your specific requirements. We can also seamlessly integrate this functionality into your existing web or mobile application, ensuring a smooth user experience across platforms.