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t. e. 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 (vocoder). 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.
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic ...
eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.
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Audio deepfake. An audio deepfake (also known as voice cloning or deepfake audio) is a product of artificial intelligence [1] used to create convincing speech sentences that sound like specific people saying things they did not say. [2][3][4] This technology was initially developed for various applications to improve human life.
Name Creator(s) First public release date Latest stable version Software license; 15.ai: 15: 2020 2022 Apple PlainTalk: Apple Inc. 1984 2018 Bundled with Mac OS X: AT&T Natural Voices
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