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  2. International Phonetic Alphabet chart - Wikipedia

    en.wikipedia.org/wiki/International_Phonetic...

    The following is the chart of the International Phonetic Alphabet, a standardized system of phonetic symbols devised and maintained by the International Phonetic Association. It is not a complete list of all possible speech sounds in the world's languages, only those about which stand-alone articles exist in this encyclopedia.

  3. Phi - Wikipedia

    en.wikipedia.org/wiki/Phi

    Phi (/ f aɪ /; [1] uppercase Φ, lowercase φ or ϕ; Ancient Greek: ϕεῖ pheî; Modern Greek: φι fi) is the twenty-first letter of the Greek alphabet. In Archaic and Classical Greek (c. 9th to 4th century BC), it represented an aspirated voiceless bilabial plosive ( [pʰ] ), which was the origin of its usual romanization as ph .

  4. International Phonetic Alphabet - Wikipedia

    en.wikipedia.org/wiki/International_Phonetic...

    Of more than 160 IPA symbols, relatively few will be used to transcribe speech in any one language, with various levels of precision. A precise phonetic transcription, in which sounds are specified in detail, is known as a narrow transcription. A coarser transcription with less detail is called a broad transcription.

  5. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    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.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 video games, television shows, and movies speak custom ...

  6. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    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.

  8. ARPABET - Wikipedia

    en.wikipedia.org/wiki/Arpabet

    ARPABET (also spelled ARPAbet) is a set of phonetic transcription codes developed by Advanced Research Projects Agency (ARPA) as a part of their Speech Understanding Research project in the 1970s. It represents phonemes and allophones of General American English with distinct sequences of ASCII characters.

  9. SAMPA - Wikipedia

    en.wikipedia.org/wiki/SAMPA

    The Speech Assessment Methods Phonetic Alphabet (SAMPA) is a computer-readable phonetic script using 7-bit printable ASCII characters, based on the International Phonetic Alphabet (IPA). It was originally developed in the late 1980s for six European languages by the EEC ESPRIT information technology research and development program.

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