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  2. eSpeak - Wikipedia

    en.wikipedia.org/wiki/ESpeak

    There are many languages (notably English) which do not have straightforward one-to-one rules between writing and pronunciation; therefore, the first step in text-to-speech generation has to be text-to-phoneme translation. input text is translated into pronunciation phonemes (e.g. input text xerox is translated into zi@r0ks for pronunciation).

  3. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]

  4. Google reveals AR glasses that can translate speech in real ...

    www.aol.com/finance/google-reveals-ar-glasses...

    The demo showed how Google’s Translate can automatically listen to speech and translate it in real-time, displaying the translated text for the wearer to see and read with ease.

  5. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    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 ...

  6. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [ 11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [ 11] The input text had to be translated into English first ...

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    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.

  8. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    Acoustic model. Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2] It is capable of transcribing speech in English and several other languages, [3] and is also capable of translating several non-English languages into English.

  9. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Kural translations by language. v. t. e. Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical.

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