(self, audio_data, sample_rate=None)
Calculate the zero-crossing rate of speech.
    :param audio_data: the audio signal from which to compute spectrum.
                      Should be an (1, N) tensor.
    :param sample_rate: [option]the samplerate of the signal we working with,
                        default is 16kHz.
    :return: A tensor with shape (1, num_frames), containing zero-crossing rate of
            every frame in speech.
Calculate the zero-crossing rate of speech.
    :param audio_data: the audio signal from which to compute spectrum.
                      Should be an (1, N) tensor.
    :param sample_rate: [option]the samplerate of the signal we working with,
                        default is 16kHz.
    :return: A tensor with shape (1, num_frames), containing zero-crossing rate of
            every frame in speech.
Calculate the zero - crossing rate of speech . : param audio_data : the audio signal from which to compute spectrum . Should be an ( 1 N ) tensor . : param sample_rate : [ option ] the samplerate of the signal we working with default is 16kHz . : return : A tensor with shape ( 1 num_frames ) containing zero - crossing rate of every frame in speech .
def call(self, audio_data, sample_rate=None):
    """
    Calculate the zero-crossing rate of speech.
    :param audio_data: the audio signal from which to compute spectrum.
                      Should be an (1, N) tensor.
    :param sample_rate: [option]the samplerate of the signal we working with,
                        default is 16kHz.
    :return: A tensor with shape (1, num_frames), containing zero-crossing rate of
            every frame in speech.
    """

    p = self.config
    with tf.name_scope('zcr'):

      if sample_rate == None:
        sample_rate = tf.constant(p.sample_rate, dtype=tf.int32)

      assert_op = tf.assert_equal(
          tf.constant(p.sample_rate), tf.cast(sample_rate, dtype=tf.int32))
      with tf.control_dependencies([assert_op]):

        sample_rate = tf.cast(sample_rate, dtype=float)
        zcr = py_x_ops.zcr(
            audio_data,
            sample_rate,
            window_length=p.window_length,
            frame_length=p.frame_length)

        return zcr
def call ( self , audio_data , sample_rate = None ) : p = self . config with tf . name_scope ( 'zcr' ) : if sample_rate == None : sample_rate = tf . constant ( p . sample_rate , dtype = tf . int32 ) assert_op = tf . assert_equal ( tf . constant ( p . sample_rate ) , tf . cast ( sample_rate , dtype = tf . int32 ) ) with tf . control_dependencies ( [ assert_op ] ) : sample_rate = tf . cast ( sample_rate , dtype = float ) zcr = py_x_ops . zcr ( audio_data , sample_rate , window_length = p . window_length , frame_length = p . frame_length ) return zcr