A wrapper around Espeak and Mbrola, to do simple Text-To-Speech (TTS), with the possibility to tweak the phonemic form.
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.
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
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
pip install voxpopuli
- Download and install espeak: http://sourceforge.net/projects/espeak/files/espeak/espeak-1.48/setup_espeak-1.48.04.exe
- Download and install mbrola: https://tcts.fpms.ac.be/synthesis/mbrola/bin/pcwin/MbrolaTools35.exe
- Download mbrola DOS binary: http://tcts.fpms.ac.be/synthesis/mbrola/bin/pcdos/mbr301d.zip
- Unpack the .zip archive and put
mbrola.exeinto your mbrola folder.
- Download voice files you need: https://tcts.fpms.ac.be/synthesis/mbrola/mbrcopybin.html
- Unpack them into a single location (the default is
%USERPROFILE%\.mbrola) so that each voice package is in its own folder
- From each voice folder copy the main file (for example
fr1) and put it in
\espeak-data\mbrolafolder in your epeak installation.
If your mbrola voices folder is not in the default location, don't forget to set its location after importing
from voxpopuli import Voice Voice.mbrola_voices_folder = 'D:\\mbrola-voices\\'
Repeat the above with
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")
type(wav) whould return
bytes. You can then save the wav using the
with open("salut.wav", "wb") as wavfile: wavfile.write(wav)
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
import scipy.io.wavfile 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
listvoicesmethod from a
- 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
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 phoneme.name in EnglishPhonemes.VOWELS: phoneme.duration *= 3 # rendering and saving the sound, then saying it out loud: voice.to_audio(phoneme_list, "modified.wav") voice.say(phoneme_list)
- 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
Englishphonemesclass 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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