soxr package#

class soxr.ResampleStream(in_rate: float, out_rate: float, num_channels: int, dtype='float32', quality='HQ')#

Streaming resampler

Use ResampleStream for real-time processing or very long signal.

Parameters
  • in_rate (float) – Input sample-rate.

  • out_rate (float) – Output sample-rate.

  • num_channels (int) – Number of channels.

  • dtype (type or str, optional) – Internal data type processed with. Should be one of float32, float64, int16, int32.

  • quality (int or str, optional) – Quality setting. One of QQ, LQ, MQ, HQ, VHQ.

resample_chunk(x, last=False)#

Resample chunk with streaming resampler

Parameters
  • x (array_like) – Input array. Input can be 1D(mono) or 2D(frames, channels). If input is not np.ndarray or not dtype in constructor, it will be converted to np.ndarray with dtype setting.

  • last (bool, optional) – Set True at end of input sequence.

Returns

Resampled data. Output is np.ndarray with same ndim with input.

Return type

np.ndarray

soxr.resample(x, in_rate: float, out_rate: float, quality='HQ')#

Resample signal

Parameters
  • x (array_like) – Input array. Input can be 1D(mono) or 2D(frames, channels). If input is not np.ndarray, it will be converted to np.ndarray(dtype=’float32’). Its dtype should be one of float32, float64, int16, int32.

  • in_rate (float) – Input sample-rate.

  • out_rate (float) – Output sample-rate.

  • quality (int or str, optional) – Quality setting. One of QQ, LQ, MQ, HQ, VHQ.

Returns

Resampled data. Output is np.ndarray with same ndim and dtype with input.

Return type

np.ndarray