Python get_available_dict_languages Examples

Example #1

File: train_lm.py Project: xyshao2/Montreal-Forced-Aligner

def run_train_lm(args, download_dictionaries=None):
    if not args.dictionary_path:
        args.dictionary_path = None
    if download_dictionaries is None:
        download_dictionaries = get_available_dict_languages()
    args.source_path = args.source_path.rstrip('/').rstrip('\\')

    validate_args(args, download_dictionaries)
    train_lm(args)

Example #2

def run_validate_corpus(args, download_dictionaries=None):
    if download_dictionaries is None:
        download_dictionaries = get_available_dict_languages()
    try:
        args.speaker_characters = int(args.speaker_characters)
    except ValueError:
        pass
    validate_args(args, download_dictionaries)
    validate_corpus(args)

Example #3

def run_train_ivector_extractor(args, download_dictionaries=None):
    if download_dictionaries is None:
        download_dictionaries = get_available_dict_languages()
    try:
        args.speaker_characters = int(args.speaker_characters)
    except ValueError:
        pass
    args.corpus_directory = args.corpus_directory.rstrip('/').rstrip('\\')

    validate_args(args, download_dictionaries)
    train_ivector(args)

Example #4

File: train_dictionary.py Project: zhangsanfeng86/Montreal-Forced-Aligner

def run_train_dictionary(args, downloaded_acoustic_models=None, download_dictionaries=None):
    if downloaded_acoustic_models is None:
        downloaded_acoustic_models = get_available_acoustic_languages()
    if download_dictionaries is None:
        download_dictionaries = get_available_dict_languages()
    try:
        args.speaker_characters = int(args.speaker_characters)
    except ValueError:
        pass
    args.output_directory = args.output_directory.rstrip('/').rstrip('\\')
    args.corpus_directory = args.corpus_directory.rstrip('/').rstrip('\\')

    validate_args(args, downloaded_acoustic_models, download_dictionaries)
    train_dictionary(args)

Example #5

File: train_and_align.py Project: potipot/Montreal-Forced-Aligner

def run_train_corpus(args, unknown_args=None, download_dictionaries=None):
    if download_dictionaries is None:
        download_dictionaries = get_available_dict_languages()
    try:
        args.speaker_characters = int(args.speaker_characters)
    except ValueError:
        pass
    if not args.output_model_path:
        args.output_model_path = None
    args.output_directory = args.output_directory.rstrip('/').rstrip('\\')
    args.corpus_directory = args.corpus_directory.rstrip('/').rstrip('\\')

    validate_args(args, download_dictionaries)
    align_corpus(args, unknown_args)

Example #6

def unfix_path():
    if sys.platform == 'win32':
        sep = ';'
        os.environ['PATH'] = sep.join(os.environ['PATH'].split(sep)[1:])
    else:
        sep = ':'
        os.environ['PATH'] = sep.join(os.environ['PATH'].split(sep)[1:])
        os.environ['LD_LIBRARY_PATH'] = sep.join(os.environ['PATH'].split(sep)[1:])


acoustic_languages = get_available_acoustic_languages()
lm_languages = get_available_lm_languages()
g2p_languages = get_available_g2p_languages()
dict_languages = get_available_dict_languages()

parser = argparse.ArgumentParser()

subparsers = parser.add_subparsers(dest="subcommand")
subparsers.required = True

align_parser = subparsers.add_parser('align')
align_parser.add_argument('corpus_directory', help='Full path to the directory to align')
align_parser.add_argument('dictionary_path', help='Full path to the pronunciation dictionary to use')
align_parser.add_argument('acoustic_model_path',
                          help='Full path to the archive containing pre-trained model or language ({})'.format(
                              ', '.join(acoustic_languages)))
align_parser.add_argument('output_directory',
                          help="Full path to output directory, will be created if it doesn't exist")
align_parser.add_argument('--config_path', type=str, default='',

Example #7

File: train_g2p.py Project: xyshao2/Montreal-Forced-Aligner

def run_train_g2p(args, download_dictionaries=None):
    if download_dictionaries is None:
        download_dictionaries = get_available_dict_languages()
    validate(args, download_dictionaries)
    train_g2p(args)