class_docstr: Class holding a DeepSpeech model
  
  :param aModelPath: Path to model file to load
  :type aModelPath: str
docstr: Use the DeepSpeech model to perform Speech-To-Text and return results including metadata.
  
  :param audio_buffer: A 16-bit, mono raw audio signal at the appropriate sample rate (matching what the model was trained on).
  :type audio_buffer: numpy.int16 array
  
  :param num_results: Maximum number of candidate transcripts to return. Returned list might be smaller than this.
  :type num_results: int
  
  :return: Metadata object containing multiple candidate transcripts. Each transcript has per-token metadata including timing information.
  :type: :func:`Metadata`
docstr_tok: ["Use","the","DeepSpeech","model","to","perform","Speech-To-Text","and","return","results","including","metadata",".",":","param","audio_buffer",":","A","16-bit",",","mono","raw","audio","signal","at","the","appropriate","sample","rate","(","matching","what","the","model","was","trained","on",")",".",":","type","audio_buffer",":","numpy.int16","array",":","param","num_results",":","Maximum","number","of","candidate","transcripts","to","return",".","Returned","list","might","be","smaller","than","this",".",":","type","num_results",":","int",":","return",":","Metadata","object","containing","multiple","candidate","transcripts",".","Each","transcript","has","per-token","metadata","including","timing","information",".",":","type",":",":","func",":","`","Metadata","`"]
code: def sttWithMetadata(self, audio_buffer, num_results=1):
      """
      Use the DeepSpeech model to perform Speech-To-Text and return results including metadata.
  
      :param audio_buffer: A 16-bit, mono raw audio signal at the appropriate sample rate (matching what the model was trained on).
      :type audio_buffer: numpy.int16 array
  
      :param num_results: Maximum number of candidate transcripts to return. Returned list might be smaller than this.
      :type num_results: int
  
      :return: Metadata object containing multiple candidate transcripts. Each transcript has per-token metadata including timing information.
      :type: :func:`Metadata`
      """
      return deepspeech.impl.SpeechToTextWithMetadata(
          self._impl, audio_buffer, num_results
      )
  
imports: import os
  import platform
  import deepspeech
  from deepspeech.impl import Version
label_desc: Use image node_id 13 for calling the Model obj's underlying member method code with example usage: obj.sttWithMetadata(audio_buffer, num_results) and returns: deepspeech