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A wrapper around Espeak and Mbrola, to do simple Text-To-Speech (TTS), with the possibility to tweak the phonemic form.

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A wrapper around Espeak and Mbrola.

This is a lightweight Python wrapper for Espeak and Mbrola, two co-dependent TTS tools. It enables you to render sound by simply feeding it text and voice parameters. Phonems (the data transmitted by Espeak to mbrola) can also be manipulated using a mimalistic API.

This is a short introduction, but you might want to look at the readthedoc documentation.


Linux (Ubuntu)

Install with pip as:

pip install voxpopuli

You have to have espeak and mbrola installed beforehand:

sudo apt install mbrola espeak

You'll also need some mbrola voices installed, which you can either get on their project page, and then uppack in /usr/share/mbrola/<lang><voiceid>/ or more simply by installing them from the ubuntu repo's. All the voices' packages are of the form mbrola-<lang><voiceid>. You can even more simply install all the voices available by running:

sudo apt install mbrola-*

In case the voices you need aren't all in the ubuntu repo's, you can use this convenient little script that install voices diretcly from the Mbrola website:

# this installs all british english and french voices for instance
sudo python3 -m voxpopuli.voice_install en fr

Windows installation


If your mbrola voices folder is not in the default location, don't forget to set its location after importing Voice module:

from voxpopuli import Voice
Voice.mbrola_voices_folder = 'D:\\mbrola-voices\\'

Repeat the above with Voice.espeak_binary and Voice.mbrola_binary if you installed them in non-default locations.


Picking a voice and making it say things

The most simple usage of this lib is just bare TTS, using a voice and a text. The rendered audio is returned in a .wav bytes object:

from voxpopuli import Voice
voice = Voice(lang="fr")
wav = voice.to_audio("salut c'est cool")

Evaluating type(wav) whould return bytes. You can then save the wav using the wb file option

with open("salut.wav", "wb") as wavfile:

If you wish to hear how it sounds right away, you'll have to make sure you installed pyaudio via pip, and then do:

voice.say("Salut c'est cool")

Ou can also, say, use scipy to get the pcm audio as a ndarray:

import import read, write
from io import BytesIO

rate, wave_array = read(BytesIO(wav))
reversed = wave_array[::-1] # reversing the sound file
write("tulas.wav", rate, reversed)

Getting different voices

You can set some parameters you can set on the voice, such as language or pitch

from voxpopuli import Voice
# really slow fice with high pitch
voice = Voice(lang="us", pitch=99, speed=40, voice_id=2)
voice.say("I'm high on helium")

The exhaustive list of parameters is:

  • lang, a language code among those available (us, fr, en, es, ...) You can list them using the listvoices method from a Voice instance.
  • voice_id, an integer, used to select the voice id for a language. If not specified, the first voice id found for a given language is used.
  • pitch, an integer between 0 and 99 (included)
  • speed, an integer, in the words per minute. Default and regular speed is 160 wpm.
  • volume, float ratio applied to the output sample. Some languages have presets that our best specialists tested. Otherwise, defaults to 1.

Handling the phonemic form

To render a string of text to audio, the Voice object actually chains espeak's output to mbrola, who then renders it to audio. Espeak only renders the text to a list of phonemes (such as the one in the IPA), who then are to be processed by mbrola. For those who like pictures, here is a diagram of what happens when you run voice.to_audio("Hello world")


phonemes are represented sequentially by a code, a duration in milliseconds, and a list of pitch modifiers. The pitch modifiers are a list of couples, each couple representing the percentage of the sample at which to apply the pitch modification and the pitch.

Funny thing is, with voxpopuli, you can "intercept" that phoneme list as a simple object, modify it, and then pass it back to the voice to render it to audio. For instance, let's make a simple alteration that'll double the duration for each vowels in an english text.

from voxpopuli import Voice, EnglishPhonemes

voice = Voice(lang="en")
# here's how you get the phonemes list
phoneme_list = voice.to_phonemes("Now go away or I will taunt you a second time.") 
for phoneme in phoneme_list: #phoneme list object inherits from the list object
    if in EnglishPhonemes.VOWELS:
        phoneme.duration *= 3
# rendering and saving the sound, then saying it out loud:
voice.to_audio(phoneme_list, "modified.wav")


  • For French, Spanish, American English, British English and german, the phoneme codes used by espeak and mbrola are available as class attributes like in the Englishphonemes class used before.
  • More info on the phonemes can be found here: SAMPA page

What's left to do

  • A real sphinx documentation
  • Moar unit tests
  • Maybe some examples

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