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Dutch (Nederlands) male text-to-speech model trained at 22050 Hz and is available to synthesize the Dutch language.
pip install tts
tts --text "Hello, world!" --model_name tts_models/nl/css10/vits
Dutch is a West Germanic language spoken by millions of people in the Netherlands, Belgium, and Suriname. It is closely related to other Germanic languages such as English and German. Dutch has a rich literary tradition and is known for its straightforward pronunciation and distinctive vowel sounds. It uses the Latin alphabet and features diacritic marks like the umlaut.
The CSS10 dataset is a collection of speech data comprising ten different speakers. It is commonly used for training and evaluating speech synthesis models.
VITS, also known as VQ-VAE-Transformer, is an advanced technique used for training audio models. It combines different components to create powerful models that can understand and generate human-like speech. VITS works by breaking down audio into tiny pieces called vectors, which are like puzzle pieces that represent different parts of the sound. These vectors are then put together using a special algorithm that helps the model learn patterns and understand the structure of the audio. It’s similar to how we put together jigsaw puzzles to form a complete picture. With VITS, the model can not only recognize and understand different speech sounds but also generate new sounds that sound very similar to human speech. This technology has a wide range of applications, from creating realistic voice assistants to helping people with speech impairments communicate more effectively.