From 7bb2dfba0cb98c0eaaa18b2dfbb47a647eac9d58 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 23 二月 2023 11:49:39 +0800
Subject: [PATCH] bugfix
---
funasr/datasets/large_datasets/dataset.py | 14 +++++++++-----
1 files changed, 9 insertions(+), 5 deletions(-)
diff --git a/funasr/datasets/large_datasets/dataset.py b/funasr/datasets/large_datasets/dataset.py
index 2d3ffd5..2123737 100644
--- a/funasr/datasets/large_datasets/dataset.py
+++ b/funasr/datasets/large_datasets/dataset.py
@@ -1,9 +1,10 @@
import os
import random
-import soundfile
+import numpy
from functools import partial
import torch
+import torchaudio
import torch.distributed as dist
from kaldiio import ReadHelper
from torch.utils.data import IterableDataset
@@ -117,7 +118,9 @@
sample_dict["key"] = key
elif data_type == "sound":
key, path = item.strip().split()
- mat, sampling_rate = soundfile.read(path)
+ waveform, sampling_rate = torchaudio.load(path)
+ waveform = waveform.numpy()
+ mat = waveform[0]
sample_dict[data_name] = mat
sample_dict["sampling_rate"] = sampling_rate
if data_name == "speech":
@@ -158,9 +161,10 @@
filter_fn = partial(filter, **filter_conf)
dataset = FilterIterDataPipe(dataset, fn=filter_fn)
- vocab = {'vocab': dict, 'seg_dict': seg_dict}
- tokenize_fn = partial(tokenize, **vocab)
- dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)
+ if "text" in data_names:
+ vocab = {'vocab': dict, 'seg_dict': seg_dict}
+ tokenize_fn = partial(tokenize, **vocab)
+ dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)
if shuffle:
buffer_conf = conf.get('shuffle_conf', {})
--
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