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German (Deutsch) male text-to-speech model trained at 22050 Hz and is available to synthesize the German language.
pip install tts
tts --text "Hello, world!" --model_name tts_models/de/thorsten/tacotron2-DCA
German is a West Germanic language primarily spoken in Germany, Austria, Switzerland, and Liechtenstein. It belongs to the Indo-European language family and is closely related to English, Dutch, and the Scandinavian languages. German has a rich literary tradition and is known for its compound words and grammatical complexity. It uses the Latin alphabet and includes umlauts (ä, ö, ü) and the Eszett (ß) as additional characters. German is classified as a Germanic language within the larger West Germanic branch.
The Thorsten dataset is a speech dataset that includes recordings from a single speaker. It can be used for training and evaluating speech recognition or synthesis models, as well as other speech-related applications.
Tacotron 2 is an exciting technology used for training audio models, specifically for text-to-speech synthesis. It’s like having a virtual voice that can read text aloud in a natural and human-like manner. Tacotron 2 uses deep learning algorithms to learn the patterns and nuances of human speech from large amounts of training data. It takes text as input and converts it into speech by generating a corresponding sequence of audio signals. The model learns how to pronounce words, intonations, and even subtle details like pauses and inflections, making the synthesized speech sound remarkably natural. Tacotron 2 has various applications, including creating voice-overs for videos, aiding individuals with speech disabilities, and even personalizing virtual assistants to have unique and expressive voices.