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  2. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    This is an accepted version of this page This is the latest accepted revision, reviewed on 31 January 2025. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...

  3. 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.

  4. Speech Synthesis Markup Language - Wikipedia

    en.wikipedia.org/wiki/Speech_Synthesis_Markup...

    Speech Synthesis Markup Language (SSML) is an XML-based markup language for speech synthesis applications. It is a recommendation of the W3C's Voice Browser Working Group. SSML is often embedded in VoiceXML scripts to drive interactive telephony systems. However, it also may be used alone, such as for creating audio books.

  5. CereProc - Wikipedia

    en.wikipedia.org/wiki/CereProc

    CereProc's parametric voices produce speech synthesis based on statistical modelling methodologies. In this system, the frequency spectrum (vocal tract), fundamental frequency (vocal source), and duration of speech are modelled simultaneously. Speech waveforms are generated from these parameters using a vocoder. Critically, these voices can be ...

  6. Java Speech API - Wikipedia

    en.wikipedia.org/wiki/Java_Speech_API

    Speech synthesis provides the reverse process of producing synthetic speech from text generated by an application, an applet, or a user. It is often referred to as text-to-speech technology. The major steps in producing speech from text are as follows:

  7. Festival Speech Synthesis System - Wikipedia

    en.wikipedia.org/wiki/Festival_Speech_Synthesis...

    The Festival Speech Synthesis System is a general multi-lingual speech synthesis system originally developed by Alan W. Black, Paul Taylor and Richard Caley [1] at the Centre for Speech Technology Research (CSTR) at the University of Edinburgh. Substantial contributions have also been provided by Carnegie Mellon University and other sites.

  8. MBROLA - Wikipedia

    en.wikipedia.org/wiki/MBROLA

    MBROLA is speech synthesis software as a worldwide collaborative project. The MBROLA project web page provides diphone databases for many [1] spoken languages.. The MBROLA software is not a complete speech synthesis system for all those languages; the text must first be transformed into phoneme and prosodic information in MBROLA's format, and separate software (e.g. eSpeakNG) is necessary.

  9. Microsoft text-to-speech voices - Wikipedia

    en.wikipedia.org/wiki/Microsoft_text-to-speech...

    A speech sample of Microsoft Sam, using the SAPI 5 version of the voice. The first part uses a variation of "The quick brown fox jumps over the lazy dog" panagram. The second part demonstrates the "soy/soi" glitch associated with Sam. Microsoft Sam is the default text-to-speech male voice in Microsoft Windows 2000 and Windows XP.