code: def sinc_interp_resample(
      x: Tensor,
      orig_freq: int = 16000,
      new_freq: int = 1600,
      lowpass_filter_width: int = 6,
      rolloff: float = 0.99,
      beta: Optional[float] = None,
  ):
      resamp = Resample(
          orig_freq,
          new_freq,
          lowpass_filter_width,
          rolloff,
          beta,
          x.dtype,
      )
      return resamp(x)
  
imports: import math
  from typing import Optional, Tuple
  from tinygrad import Tensor, dtypes
  import librosa
  import soundfile
  import numpy
  import parselmouth
label_desc: Use image node_id 1 for calling a global function with example usage: sinc_interp_resample(x, orig_freq, new_freq, lowpass_filter_width, rolloff, beta) and returns: resamp