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High-level interface for RHVoice library

Project description

High-level interface for RHVoice library

API PyPI version Python versions PyPI - Format Build Status Build status

Generate speech stream from text without re-initializing engine. This very fast and more convenient than call RHVoice-test. Off the shelf supports wav, mp3 and opus.

Install

pip3 install rhvoice-wrapper

This package NOT provide RHvoice. You must be build (or install) RHVoice, languages and voices manually. In Windows you must specify the paths for work.

rhvoice-wrapper-bin

Warning! rhvoice-wrapper-bin not working in macOS, install RHVoice manually.

Instead of RHVoice you may install rhvoice-wrapper-bin. This is best way for Windows. If the rhvoice-wrapper-bin is installed, its libraries and data will be used automatically.

pip3 install rhvoice-wrapper-bin

Documentation

First create TTS object:

from rhvoice_wrapper import TTS

tts = TTS(threads=1)

You may set options when creating or through variable environments (UPPER REGISTER). Options override variable environments. To set the default value use None:

  • threads or THREADED. If equal to 1, created one thread object, if more running in multiprocessing mode and create a lot of processes. Threading mode is not race condition safe, multiprocessing mode is safe. Default 1.
  • force_process: If True, force using multiprocessing mode. Default False.
  • lib_path or RHVOICELIBPATH: Path to RHVoice library. Default libRHVoice.so in Linux, libRHVoice.dylib in macOS and RHVoice.dll in Windows.
  • data_path or RHVOICEDATAPATH: Path to folder, containing voices and languages folders. Default /usr/local/share/RHVoice.
  • resources or RHVOICERESOURCES: List of paths, optional. I do not know what is this. Default: ['/usr/local/etc/RHVoice/dicts/Russian/'].
  • lame_path or LAMEPATH: Path to lame, optional. Lame must be present for mp3 support. Default lame.
  • opus_path or OPUSENCPATH: Path to opusenc, optional. File must be present for opus support. Default opusenc.

Usage

Start synthesis generator and get audio data, chunk by chunk:

def generator_audio(text, voice, audio_format, sets):
    with tts.say(text, voice, audio_format, sets=sets) as gen:
        for chunk in gen:
            yield chunk

Or just save to file:

tts.to_file(filename='esperanto.ogg', text='Saluton mondo', voice='spomenka', format_='opus', sets=None)

sets may set as dict containing synthesis parameters as in set_params. This parameters only work for current phrase. Default None.

Text as iterable object

If text iterable object, all its fragments will processing successively. This is a good method for processing incredibly large texts. Remember, the generator cannot be transferred to another process. Example:

def _text():
    with open('wery_large_book.txt') as fp:
        text = fp.read(5000)
        while text:
            yield text
            text = fp.read(5000)

def generator_audio(voice, audio_format, sets):
    with tts.say(_text(), voice, audio_format, sets=sets) as gen:
        for chunk in gen:
            yield chunk

Other methods

set_params

Changes voice synthesizer settings:

tts.set_params(**kwargs)

Allow: absolute_rate, relative_rate, absolute_pitch, relative_pitch, absolute_volume, relative_volume, punctuation_mode, capitals_mode. See RHVoice documentation for details.

Return True if change, else False.

get_params

Get voice synthesizer settings:

tts.get_params(param=None)

If param is None return all settings in dict, else parameter value by name as numeric. If parameter not found return None.

benchmarks

Synthetic benchmark. First return string 'start...', then results every 30 seconds. Works only in multiprocessing mode. Example:

from rhvoice_wrapper import TTS

tts = TTS(threads=24)
end_in = 5
for result in tts.benchmarks():
    print(result)
    end_in -= 1
    if not end_in:
        break
tts.join()

join

Join thread or processes. Don't use object after join:

tts.join()

Properties

  • TTS.formats: List of supported formats, wav always present.
  • TTS.thread_count: Number of synthesis threads.
  • TTS.process: If True, TTS running in multiprocessing mode.
  • TTS.voices: List of supported voices.
  • TTS.voices_info: Dictionary of supported voices with voices information.
  • TTS.api_version: Supported RHVoice library version. If different from lib_version, may incorrect work.
  • TTS.lib_version: RHVoice library version.
  • TTS.cmd: Dictionary of external calls, as it is.

Examples

Requirements

  • OS: Linux, Windows, macOS
  • RHvoice library, languages and voices
  • Python 3.4 +

Links

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