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How to Convert Text to Speech on Linux: 12 Steps (with ...

    https://www.wikihow.com/Convert-Text-to-Speech-on-Linux
    Text to speech software isn't just for blind or partially sighted people. It can be useful for converting text to speech on the fly or to audio files …

eSpeak: Text To Speech Tool For Linux - It's FOSS

    https://itsfoss.com/espeak-text-speech-linux/
    eSpeak is a command line tool for Linux that converts text to speech. This is a compact speech synthesizer that provides support to English and many other languages. It is written in C. eSpeak reads the text from the standard input or the input file. The voice generated, however, is nowhere close to a human voice.

Text to Speech Software for Ubuntu Linux - Gespeaker

    https://www.hecticgeek.com/text-to-speech-software-ubuntu-linux/
    If you’re looking for an ease to use text to speech utility that can be used in GNU/Linux (Ubuntu in this case) then Gespeaker is a tool that you can try. This is actually a graphical front-end that uses the “espeak” (command-line based speech synthesizer, cross-platform tool) as the engine.

software recommendation - How to text-to-speech output ...

    https://askubuntu.com/questions/501910/how-to-text-to-speech-output-using-command-line
    say converts text to audible speech using the GNUstep speech engine. sudo apt-get install gnustep-gui-runtime say "hello" festival General multi-lingual speech synthesis system. sudo apt-get install festival echo "hello" | festival --tts spd-say sends text-to-speech output request to speech-dispatcher

Top 10 Best Open Source Speech Recognition Tools for …

    https://www.ubuntupit.com/best-open-source-speech-recognition-tools-for-linux/
    Kaldi. Kaldi is a special kind of speech recognition software, started as a part of a project at …

linux - Matching text and spoken audio - Stack Overflow

    https://stackoverflow.com/questions/8652685/matching-text-and-spoken-audio
    Within the text, I'd like to mark all of the places in which a split in the audio file occurs (e.g. place a "@" at the place where one audio file ends and the next begins). There is are no background noises and only in a few rare places does the text and voice differ. The text is hundreds of pages long and there are ten thousand audio files, so ...

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