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Voice Synthesizer Application Android Voice synthesizer application android Continue The Download Now link sends you to the Windows Store, where you can continue the download process. You need to have an active Microsoft account to download the app. This download may not be available in some countries. Results 1 - 10 of 603 Prev 1 2 3 4 5 Next See also: Speech Synthesis Receming Device is an artificial production of human speech. The computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware. The text-to-speech system (TTS) converts the usual text of language into speech; other systems display symbolic linguistic representations, such as phonetic transcriptions in speech. Synthesized speech can be created by concatenating fragments of recorded speech that are stored in the database. Systems vary in size of stored speech blocks; The system that stores phones or diphones provides the greatest range of outputs, but may not have clarity. For specific domain use, storing whole words or suggestions allows for high-quality output. In addition, the synthesizer may include a vocal tract model and other characteristics of the human voice to create a fully synthetic voice output. The quality of the speech synthesizer is judged by its similarity to the human voice and its ability to be understood clearly. The clear text to speech program allows people with visual impairments or reading disabilities to listen to written words on their home computer. Many computer operating systems have included speech synthesizers since the early 1990s. A review of the typical TTS Automatic Announcement System synthetic voice announces the arriving train to Sweden. Problems with playing this file? See the media report. The text to speech system (or engine) consists of two parts: front and back. The front end has two main tasks. First, it converts raw text containing symbols, such as numbers and abbreviations, into the equivalent of written words. This process is often referred to as text normalization, pre-processing, or tokenization. The front end then assigns phonetic transcriptions to each word, and divides and marks the text into prozodiotic units such as phrases, clauses and sentences. The process of assigning phonetic transcriptions to words is called the transformation of text into a phoneme or graphema to a phoneme. Phonetic transcriptions and prosody information together constitute a symbolic linguistic representation that is the output at the front end. The rear end, often called a synthesizer, converts a symbolic linguistic representation into sound. In some systems, this part includes the calculation of the target prosody (step outline, phoneme duration), which is then imposed on output speech. Long before the invention of electronic signal processing, some people tried to build machines to emulate human speech. Speech. Early legends of the existence of Brazen Heads involved Pope Sylvester II (d. 1003 AD), Albert Magnus (1198-1280), and Roger Bacon (1214-1294). In 1779, the German-Danish scientist Christian Gottlieb Kratzenstein received the first prize in a competition announced by the Russian Imperial Academy of Sciences and Arts for models he built from a human vocal tract that could produce five long vowels (in the international phonetic notation of the alphabet: aː, eː, iː, oː and uː). It was followed by the acoustic-mechanical speech machine of Wolfgang von Kempelen of Pressburg, Hungary, described in a 1791 article. This machine added models of tongue and lips, which allowed it to produce consonants as well as vowels. In 1837, Charles Wheatstone produced a talking machine designed by von Kempelen, and in 1846, Joseph Faber exhibited Euphonia. In 1923, Peydt revived Wheatstone's design. In the 1930s, Bell Labs developed a vocoder that automatically analyzed speech in its fundamental tones and resonances. From his work on the vocoder, Homer Dudley developed a voice synthesizer called The Voder (Voice Demonstrator), which he exhibited at the 1939 World's Fair in New York. Dr. Franklin S. Cooper and his colleagues at Haskins Lab built a pattern reproduction in the late 1940s and completed it in 1950. There were several different versions of this hardware device; Only one currently survives. The machine converts images of acoustic speech patterns in the form of a spectrogram back into sound. Using this device, Alvin Lieberman and his colleagues found acoustic signals for the perception of phonetic segments (consonants and vowels). Electronic computer and speech synthesizer devices used by Stephen Hawking in 1999 The first computer speech synthesis systems originated in the late 1950s. Noriko Umeda et al. developed the first common English text-speech system in 1968, at the Electrical Laboratory in Japan. In 1961, physicist John Larry Kelly Jr. and his colleague Louis Gerstman used an IBM 704 computer to synthesize speech, one of the most famous events in bell Labs history. (quote necessary) Kelly's synthesizer recorder (vocoder) recreated the song Daisy Bell to the music of Max Matthews. Coincidentally, Arthur Clarke was visiting his friend and colleague John Pierce at the Bell Labs Murray Hill facility. Clarke was so impressed by the demonstration that he used it in the climax scene of his script for his 2001 novel: A Space Odyssey, 10 where a HAL 9000 computer sings the same song as astronaut Dave Bowman puts him to sleep. Despite the success of purely electronic speech synthesis, research into mechanical speech synthesizers continues. Linear predictive coding (required third-party source) The form of speech coding began with the work of Fumitada Ithaku from the University of Nagoya and Shuzo Saito of Nippon Telegraph and Telephone (NTT) in 1966. Further developments in LPC technology were made by Bishna S. Atal and Manfred R. Schroeder at Bell Labs in the 1970s. In 1975, Fumitada Ithaku developed the Linear Spectral Pairs (LSP) method for coding high-compression speech while in NTT. From 1975 to 1981, Ithaca studied problems in speech analysis and synthesis based on the LSP method. In 1980, his team developed a speech synthesizer chip based on LSP. LSP is an important technology for speech synthesis and coding, and in the 1990s was adopted by almost all international standards of speech coding as an important component, helping to improve digital speech communication through mobile channels and the Internet. In 1975, MUSA was released and became one of the first speech synthesis systems. It consisted of independent computer equipment and specialized software that allowed him to read Italian. The second version, released in 1978, was also able to advise in Italian in the style of a cappella. The DECtalk demo, using perfect Paul and Uppity Ursula voices Dominant in the 1980s and 1990s, was a DECtalk system based primarily on the work of Dennis Klatt at MIT and Bell Labs; The latter was one of the first multilingual language independent systems, using natural language processing techniques extensively. Hand electronics with speech synthesis began to appear in the 1970s. One of the first was the portable Telesensory Systems Inc. (TSI) Speech calculator for the blind in 1976. Other devices had mostly educational purposes, such as the Speak toy and the Spell produced by Texas Instruments in 1978. In 1979, Fidelity released a colloquial version of its electronic chess computer. The first video game to feature speech synthesis was the 1980 arcade game Stratovox (known in Japan as Speak and Rescue) by Sun Electronics. The first personalized speech-synthesis computer game was Manbiki Shoujo (Shoplifting Girl), released in 1980 for PET 2001, for which the game's developer, Hiroshi Suzuki, developed a zero cross programming method for the production of synthesized speech form. Another early example, the arcade version of Berzerk, also dates back to 1980. Milton Bradley released the first multiplayer electronic game using Milton's voice synthesis in the same year. Early electronic speech synthesizers sounded robotic and were often barely clear. The quality of synthesized speech is steadily improving, but compared to 2016, the output from modern speech synthesis remains clearly distinguishable from actual human speech. Synthesized voices tended to sound male until 1990, when Anne Sirdal, of ATT Bell Laboratories, created a female voice. In 2005, Kurzweil predicted that as the cost-performance ratio made speech synthesizers cheaper and more accessible, more people would benefit from text programs. Synthesizer technology The most important qualities of the speech synthesis system are naturalness and intelligibility. Naturalness describes how close the output sounds like human speech, while intelligibility is the ease with which output is understood. The ideal speech synthesizer is natural and understandable. Speech synthesis systems usually try to maximize both characteristics. The two main technologies for generating synthetic speech waves are concatenative synthesis and formal synthesis. Each technology has strengths and weaknesses, and the intended use of a fusion system usually determines which approach is used. Synthesis of Concatenation Main article: Concatenative synthesis is based on concatenation (or stringing together) segments of recorded speech. Typically, concatinative synthesis produces the most naturally sounding synthesized speech. However, differences between natural variations of speech and the nature of automated wave segmentation methods sometimes lead to sound failures in output. There are
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