(self, audio_data, sample_rate=None)
Caculate picth features of audio data.
    :param audio_data: the audio signal from which to compute spectrum.
                      Should be an (1, N) tensor.
    :param sample_rate: the samplerate of the signal we working with.
    :return: A float tensor of size (num_frames, 2) containing
           pitch && POV features of every frame in speech.
Caculate picth features of audio data.
    :param audio_data: the audio signal from which to compute spectrum.
                      Should be an (1, N) tensor.
    :param sample_rate: the samplerate of the signal we working with.
    :return: A float tensor of size (num_frames, 2) containing
           pitch && POV features of every frame in speech.
Caculate picth features of audio data . : param audio_data : the audio signal from which to compute spectrum . Should be an ( 1 N ) tensor . : param sample_rate : the samplerate of the signal we working with . : return : A float tensor of size ( num_frames 2 ) containing pitch && POV features of every frame in speech .
def call(self, audio_data, sample_rate=None):
    """
    Caculate picth features of audio data.
    :param audio_data: the audio signal from which to compute spectrum.
                      Should be an (1, N) tensor.
    :param sample_rate: the samplerate of the signal we working with.
    :return: A float tensor of size (num_frames, 2) containing
           pitch && POV features of every frame in speech.
    """
    p = self.config

    with tf.name_scope('pitch'):

      if sample_rate is None:
        sample_rate = tf.constant(p.sample_rate, dtype=tf.int32)
      else:
        if not tf.is_tensor(sample_rate):
          sample_rate = tf.convert_to_tensor(sample_rate)

      pitch = py_x_ops.pitch(
          audio_data,
          sample_rate,
          window_length=p.window_length,
          frame_length=p.frame_length,
          snip_edges=p.snip_edges,
          preemph_coeff=p.preemph_coeff,
          min_f0=p.min_f0,
          max_f0=p.max_f0,
          soft_min_f0=p.soft_min_f0,
          penalty_factor=p.penalty_factor,
          lowpass_cutoff=p.lowpass_cutoff,
          resample_freq=p.resample_freq,
          delta_pitch=p.delta_pitch,
          nccf_ballast=p.nccf_ballast,
          lowpass_filter_width=p.lowpass_filter_width,
          upsample_filter_width=p.upsample_filter_width,
          max_frames_latency=p.max_frames_latency,
          frames_per_chunk=p.frames_per_chunk,
          simulate_first_pass_online=p.simulate_first_pass_online,
          recompute_frame=p.recompute_frame,
          nccf_ballast_online=p.nccf_ballast_online,
          pitch_scale=p.pitch_scale,
          pov_scale=p.pov_scale,
          pov_offset=p.pov_offset,
          delta_pitch_scale=p.delta_pitch_scale,
          delta_pitch_noise_stddev=p.delta_pitch_noise_stddev,
          normalization_left_context=p.normalization_left_context,
          normalization_right_context=p.normalization_right_context,
          delta_window=p.delta_window,
          delay=p.delay,
          add_pov_feature=p.add_pov_feature,
          add_normalized_log_pitch=p.add_normalized_log_pitch,
          add_delta_pitch=p.add_delta_pitch,
          add_raw_log_pitch=p.add_raw_log_pitch)

      return pitch
def call ( self , audio_data , sample_rate = None ) : p = self . config with tf . name_scope ( 'pitch' ) : if sample_rate is None : sample_rate = tf . constant ( p . sample_rate , dtype = tf . int32 ) else : if not tf . is_tensor ( sample_rate ) : sample_rate = tf . convert_to_tensor ( sample_rate ) pitch = py_x_ops . pitch ( audio_data , sample_rate , window_length = p . window_length , frame_length = p . frame_length , snip_edges = p . snip_edges , preemph_coeff = p . preemph_coeff , min_f0 = p . min_f0 , max_f0 = p . max_f0 , soft_min_f0 = p . soft_min_f0 , penalty_factor = p . penalty_factor , lowpass_cutoff = p . lowpass_cutoff , resample_freq = p . resample_freq , delta_pitch = p . delta_pitch , nccf_ballast = p . nccf_ballast , lowpass_filter_width = p . lowpass_filter_width , upsample_filter_width = p . upsample_filter_width , max_frames_latency = p . max_frames_latency , frames_per_chunk = p . frames_per_chunk , simulate_first_pass_online = p . simulate_first_pass_online , recompute_frame = p . recompute_frame , nccf_ballast_online = p . nccf_ballast_online , pitch_scale = p . pitch_scale , pov_scale = p . pov_scale , pov_offset = p . pov_offset , delta_pitch_scale = p . delta_pitch_scale , delta_pitch_noise_stddev = p . delta_pitch_noise_stddev , normalization_left_context = p . normalization_left_context , normalization_right_context = p . normalization_right_context , delta_window = p . delta_window , delay = p . delay , add_pov_feature = p . add_pov_feature , add_normalized_log_pitch = p . add_normalized_log_pitch , add_delta_pitch = p . add_delta_pitch , add_raw_log_pitch = p . add_raw_log_pitch ) return pitch