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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 ...
Speech-generating devices ( SGDs ), also known as voice output communication aids, are electronic augmentative and alternative communication (AAC) systems used to supplement or replace speech or writing for individuals with severe speech impairments, enabling them to verbally communicate. [1] SGDs are important for people who have limited means ...
Developed by a pseudonymous MIT researcher under the name 15, the project uses a combination of audio synthesis algorithms, speech synthesis deep neural networks, and sentiment analysis models to generate and serve emotive character voices faster than real-time, particularly those with a very small amount of trainable data.
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 (DNN) are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
Software Automatic Mouth, or S.A.M. (sometimes abbreviated as SAM), is a speech synthesis program developed by Mark Barton and sold by Don't Ask Software. The program was released for the Atari 8-bit computers, Apple II, and Commodore 64. Released in 1982, it was one of the first commercial all-software voice-synthesis programs. [citation needed]
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.
Sinewave synthesis. Sinewave synthesis, or sine wave speech, is a technique for synthesizing speech by replacing the formants (main bands of energy) with pure tone whistles. The first sinewave synthesis program ( SWS) for the automatic creation of stimuli for perceptual experiments was developed by Philip Rubin at Haskins Laboratories in the 1970s.
ElevenLabs is primarily known for its browser-based, AI-assisted text-to-speech software, Speech Synthesis, which can produce lifelike speech by synthesizing vocal emotion and intonation. The company states that its models are trained to interpret the context in the text, and adjust the intonation and pacing accordingly.
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