update docs

speech_asr

2023-02-15 a0eaae31b5753ff4274a298e52f3ef7b8f48a5b6

 funasr/datasets/large_datasets/dataset.py

@@ -1,6 +1,6 @@
import os
import random
import soundfile
import numpy
from functools import partial

import torch
@@ -119,6 +119,7 @@
                    elif data_type == "sound":
                        key, path = item.strip().split()
                        waveform, sampling_rate = torchaudio.load(path)
                        waveform = waveform.numpy()
                        mat = waveform[0]
                        sample_dict[data_name] = mat
                        sample_dict["sampling_rate"] = sampling_rate