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Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media. [1] Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from various media speak custom text with emotional ...
Generative AI can also be trained extensively on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities. An early pioneer in this field was 15.ai , launched in March 2020, which demonstrated the ability to clone character voices using as little as 15 seconds of training data. [ 55 ]
Dennis H. Klatt (March 31, 1938 – December 30, 1988) was an American researcher in speech and hearing science. Klatt was the pioneer of computerized speech synthesis and created an interface which allowed for speech for non-expert users for the first time.
Braina is a virtual assistant [1] [2] and speech-to-text dictation [3] application for Microsoft Windows developed by Brainasoft. [4] Braina uses natural language interface, [5] speech synthesis, and speech recognition technology [6] to interact with its users and allows them to use natural language sentences to perform various tasks on a computer.
It is necessary to collect clean and well-structured raw audio with the transcripted text of the original speech audio sentence. Second, the text-to-speech model must be trained using these data to build a synthetic audio generation model. Specifically, the transcribed text with the target speaker's voice is the input of the generation model ...
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