synthesizer

This module contains the following classes:

  • Synthesizer, for synthesizing text fragments into an audio file, along with the corresponding time anchors.

Warning

This module might be refactored in a future version

class aeneas.synthesizer.Synthesizer(rconf=None, logger=None)[source]

A class to synthesize text fragments into an audio file, along with the corresponding time anchors.

Parameters:
Raises:

OSError: if a custom TTS engine is requested but it cannot be loaded

Raises:

ImportError: if the AWS Polly TTS API wrapper is requested but the boto3 module is not installed, or if the Nuance TTS API wrapper is requested but the``requests`` module is not installed

ALLOWED_VALUES = ['aws', 'custom', 'espeak', 'espeak-ng', 'festival', 'macos', 'nuance']

List of all the allowed values

AWS = 'aws'

Select AWS Polly TTS API wrapper

CUSTOM = 'custom'

Select custom TTS engine wrapper

ESPEAK = 'espeak'

Select eSpeak wrapper

ESPEAKNG = 'espeak-ng'

Select eSpeak-ng wrapper

FESTIVAL = 'festival'

Select Festival wrapper

MACOS = 'macos'

Select macOS “say” wrapper

NUANCE = 'nuance'

Select Nuance TTS API wrapper

clear_cache()[source]

Clear the TTS cache, removing all cache files from disk.

New in version 1.6.0.

output_audio_format

Return a tuple (codec, channels, rate) specifying the audio format generated by the actual TTS engine.

Return type:tuple
synthesize(text_file, audio_file_path, quit_after=None, backwards=False)[source]

Synthesize the text contained in the given fragment list into a wav file.

Return a tuple (anchors, total_time, num_chars).

Parameters:
  • text_file (TextFile) – the text file to be synthesized
  • audio_file_path (string) – the path to the output audio file
  • quit_after (float) – stop synthesizing as soon as reaching this many seconds
  • backwards (bool) – if True, synthesizing from the end of the text file
Return type:

tuple

Raises:

TypeError: if text_file is None or not an instance of TextFile

Raises:

OSError: if audio_file_path cannot be written

Raises:

OSError: if tts=custom in the RuntimeConfiguration and tts_path cannot be read

Raises:

ValueError: if the TTS engine has not been set yet