Text-to-Speech espeak-ng

What is espeak-ng ?

espeak-ng 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.

OPTIONS

-h, --help
Show summary of options.
--version
Prints the espeak library version and the location of the espeak voice data.
-f <text file>
Text file to speak.
--stdin
Read text input from stdin instead of a file.
If neither -f nor --stdin are provided, <words> are spoken, or if no words are provided
then text is spoken from stdin a line at a time.
-d <device>
Use the specified device to speak the audio on. If not specified, the default audio
device is used.
-q Quiet, don´t produce any speech (may be useful with -x). -a <integer>
Amplitude, 0 to 200, default is 100.
-g <integer>
Word gap. Pause between words, units of 10ms at the default speed.
-k <integer>
Indicate capital letters with: 1=sound, 2=the word "capitals", higher values = a
pitch increase (try -k20).
-l <integer>
Line length. If not zero (which is the default), consider lines less than this
length as end-of-clause.
-p <integer>
Pitch adjustment, 0 to 99, default is 50.
-s <integer>
Speed in words per minute, default is 160.
-v <voice name>
Use voice file of this name from espeak-ng-data/voices. A variant can be specified
using voice+variant, such as af+m3.
-w <wave file name>
Write output to this WAV file, rather than speaking it directly.
--split=<minutes>
Used with -w to split the audio output into <minutes> recorded chunks.
-b Input text encoding, 1=UTF8, 2=8 bit, 4=16 bit. -m Indicates that the text contains SSML (Speech Synthesis Markup Language) tags or
other XML tags. Those SSML tags which are supported are interpreted. Other tags,
including HTML, are ignored, except that some HTML tags such as <hr> <h2> and <li>
ensure a break in the speech.
-x Write phoneme mnemonics to stdout. -X Write phonemes mnemonics and translation trace to stdout. If rules files have been
built with --compile=debug, line numbers will also be displayed.
-z No final sentence pause at the end of the text. --stdout
Write speech output to stdout.
--compile=voicename
Compile the pronunciation rules and dictionary in the current directory.
=<voicename< is optional and specifies which language is compiled.
--compile-debug=voicename
Compile the pronunciation rules and dictionary in the current directory as above,
but include line numbers, that get shown when -X is used.
--ipa Write phonemes to stdout using International Phonetic Alphabet. --ipa=1 Use ties,
--ipa=2 Use ZWJ, --ipa=3 Separate with _.
--tie=<character>
The character to use to join multi-letter phonemes in -x and --ipa output.
--path=<path>
Specifies the directory containing the espeak-ng-data directory.
--pho Write mbrola phoneme data (.pho) to stdout or to the file in --phonout. --phonout=<filename>
Write output from -x -X commands and mbrola phoneme data to this file.
--punct="<characters>"
Speak the names of punctuation characters during speaking. If =<characters> is
omitted, all punctuation is spoken.
--sep=<character>
The character to separate phonemes from the -x and --ipa output.
--voices[=<language code>]
Lists the available voices. If =<language code> is present then only those voices
which are suitable for that language are listed.
--voices=<directory>
Lists the voices in the specified subdirectory.

EXAMPLES

espeak-ng "This is a test"
Speak the sentence "This is a test" using the default English voice.
espeak-ng -f hello.txt
Speak the contents of hello.txt using the default English voice.
cat hello.txt | espeak-ng
Speak the contents of hello.txt using the default English voice.
espeak-ng -x hello
Speak the word "hello" using the default English voice, and print the phonemes that
were spoken.
espeak-ng -ven-us "[[h@´loU]]"
Speak the phonemes "h@´loU" using the American English voice.
espeak-ng --voices
List all voices supported by eSpeak.
espeak-ng --voices=en
List all voices that speak English (en).
espeak-ng --voices=mb
List all voices using the MBROLA voice synthesizer.

Thanks!!

--

--

--

Tech Enthusiast

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

A 5 Step Beginner’s Guide to Programming

Collaborating with Git and GitHub

The most important lesson I learned coaching WIP limits

GitOps vs DevOps: What’s the different?

FizzBuzz in Ruby — Following TDD

How to use relabeling in Prometheus and VictoriaMetrics

Learning Data Structures with Python: Stacks

I would like to share some of my personal reviews and techniques which helped me to get the…

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Kaushik Denge

Kaushik Denge

Tech Enthusiast

More from Medium

The best time to “play to earn” crypto games has come

Decentra-Tokens Launches Hall Of Memes

The Future Is Triple Top Line

I’m half through “A Thousand Brains” by Jeff Hawkins – luckily it’s structured in a way that allows…