text: #!/usr/bin/env python
  # encoding: utf-8
  
  # The MIT License (MIT)
  
  # Copyright (c) 2020 CNRS
  
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  
  # The above copyright notice and this permission notice shall be included in
  # all copies or substantial portions of the Software.
  
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  
  # AUTHORS
  # Hervé BREDIN - http://herve.niderb.fr
  
  from pathlib import Path
  from pyannote.database.protocol.protocol import ProtocolFile
  from pyannote.core import Annotation
  from pyannote.database.util import load_rttm
  
  
  class RemoveNonSpeech:
      """Remove (precomputed) non-speech regions from annotation
  
      This is useful for speaker verification databases where files contain only
      one speaker but actual speech regions are not annotated.
  
      Parameters
      ----------
      sad_rttm : Path
          Path to RTTM file containing speech activity detection result.
  
      Usage
      -----
      1. Prepare a file containing speech activity detection results in RTTM
         format (here /path/to/sad.rttm)
      2. Add a "preprocessors" section in your "config.yml" configuration file
          --------------------------------------------------------------------
          preprocessors:
              annotation:
                  name: pyannote.audio.preprocessors.RemoveNonSpeech
                  params:
                      sad_rttm: /path/to/sad.rttm
          --------------------------------------------------------------------
      3. Enjoy your updated "annotation" key (where non-speech regions are
         removed).
      """
  
      def __init__(self, sad_rttm: Path = None):
          self.sad_rttm = sad_rttm
          self.sad_ = load_rttm(self.sad_rttm)
  
      def __call__(self, current_file: ProtocolFile) -> Annotation:
  
          # get speech regions as Annotation instances
          speech_regions = self.sad_.get(current_file["uri"], Annotation())
  
          # remove non-speech regions from current annotation
          # aka only keep speech regions
          try:
              annotation = current_file["annotation"]
              return annotation.crop(speech_regions.get_timeline())
  
          # this haapens when current_file has no "annotation" key
          # (e.g. for file1 and file2 in speaker verification trials)
          # in that case, we return speech regions directly
          except KeyError:
              return speech_regions
  