recognizer.py

#!/usr/bin/env python
# -*- encoding: utf-8 -*-
#
# Copyright (c) 2018 Jordi Mas i Hernandez <jmas@softcatala.org>
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the
# Free Software Foundation, Inc., 59 Temple Place - Suite 330,
# Boston, MA 02111-1307, USA.

import os
import speech_recognition as sr

project_path = '/home/jordi/sc/cmusphinx-models-jordi/'


class Recognizer():

    def _get_model_path(self):
        language_path = os.path.join(project_path, 'ca-ca')
        hmm_path = os.path.join(language_path, 'acoustic-model')
        lm_file = os.path.join(language_path, 'language-model.lm.bin')
        dict_file = os.path.join(language_path, 'pronounciation-dictionary.dict')
        for prequisit in [language_path, hmm_path, lm_file, dict_file]:
            if not os.path.exists(prequisit):
                raise IOError('%s does not exits' % prequisit)
        return hmm_path, lm_file, dict_file

    def get_text(self, audio_file):
        hmmd, lmd, dictd = self._get_model_path()
        language_tuple = (hmmd, lmd, dictd)

        r = sr.Recognizer()
        with sr.AudioFile(audio_file) as source:
            audio = r.record(source)

        return r.recognize_sphinx(audio, language=language_tuple)