original_docstring: Load audio from local path
      The function will resample the audio to 16K and re-normalize it to have zero-mean and unit-variance
      
docstring: Load audio from local path
  The function will resample the audio to 16K and re-normalize it to have zero-mean and unit-variance
docstring_tokens: Load audio from local path The function will resample the audio to 16K and re - normalize it to have zero - mean and unit - variance
code: def load_audio(file):
      """Load audio from local path
      The function will resample the audio to 16K and re-normalize it to have zero-mean and unit-variance
      """
      s, _ = paddleaudio.load(file, sr=16000, normal=True, norm_type='gaussian')
      x = paddle.to_tensor(s)
      x = x.unsqueeze(0)
      return x
code_tokens: def load_audio ( file ) : s , _ = paddleaudio . load ( file , sr = 16000 , normal = True , norm_type = 'gaussian' ) x = paddle . to_tensor ( s ) x = x . unsqueeze ( 0 ) return x
short_docstring: Load audio from local path
  The function will resample the audio to 16K and re-normalize it to have zero-mean and unit-variance
short_docstring_tokens: Load audio from local path The function will resample the audio to 16K and re - normalize it to have zero - mean and unit - variance
comment: """Load audio from local path
      The function will resample the audio to 16K and re-normalize it to have zero-mean and unit-variance
      """