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"Is there a currently available text-to-speech reader app that works in real time?"
The first text-to-speech system was developed in the 1970s by the Bell Labs, and used a combination of rules-based speech synthesis and natural language processing to generate speech from text.
The first AI-powered TTS system was developed in the 1980s by the Japanese company, Nippon Telegraph and Telephone (NTT), which used a neural network to generate speech from text.
Human evaluations of speech quality have shown that the best performing TTS systems are those that can mimic the prosody and phonetics of human speech, rather than simply generating synthetic speech that sounds robotic.
The human brain processes speech at a rate of about 120 words per minute, which is significantly slower than the typical rate of linear text reading, which is around 400-500 words per minute.
The most realistic TTS systems are those that use a combination of acoustic and articulatory models to generate speech, which can produce speech that is very similar to human speech.
The first TTS app for mobile devices was released in 2009, and was developed by the company, Loquendo.
The top-performing TTS app for Android devices is TTSMaker, which has been downloaded over 1 million times.
The free TTS app, TTSReader, supports all modern browsers and includes multiple languages and accents, making it a popular choice for users who need a reliable TTS solution.
Google's text-to-speech voices can be accessed on Chrome, and are powered by a combination of machine learning algorithms and large datasets of human speech.
NaturalReader, a popular TTS app, uses a combination of AI-powered voices and human evaluation to ensure that the speech produced is high-quality and natural-sounding.
The largest collection of TTS voices is maintained by the company, CereProc, which has over 100 voices in over 20 languages.
The most advanced TTS systems use large language models (LLMs) to generate speech, which can produce speech that is highly realistic and natural-sounding.
The first TTS app for iOS devices was released in 2010, and was developed by the company, Voicefinger.
The text-to-speech technology used in TTS apps is based on the concept of concatenative speech synthesis, which involves combining short snippets of speech together to generate longer phrases and sentences.
The accuracy of TTS systems can be improved by using large datasets of human speech, as well as machine learning algorithms that can learn to recognize and generate patterns in speech.
The fastest-growing area of research in TTS is the development of more accurate and realistic TTS systems, particularly in the area of emotional expression and prosody.
TTS apps can be used for a variety of applications, including accessibility, education, and entertainment, and can be used by people with dyslexia, dysgraphia, and other reading difficulties.
The largest TTS market is in the education sector, with over 50% of TTS app downloads coming from educational institutions.
The largest TTS market outside of education is in the accessibility sector, with over 20% of TTS app downloads coming from organizations that provide assistive technology for people with disabilities.
TTS apps are being used in a variety of industries, including healthcare, finance, and government, to provide accessible and natural-sounding audio content.
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