From 7984a37f8ce2d0db89913b22bad521e6a64aed27 Mon Sep 17 00:00:00 2001
From: 仁迷 <haoneng.lhn@alibaba-inc.com>
Date: 星期三, 01 三月 2023 17:03:45 +0800
Subject: [PATCH] update large dataset for sampling rate
---
funasr/datasets/large_datasets/dataset.py | 11 +++++++++--
1 files changed, 9 insertions(+), 2 deletions(-)
diff --git a/funasr/datasets/large_datasets/dataset.py b/funasr/datasets/large_datasets/dataset.py
index 61231d2..1942371 100644
--- a/funasr/datasets/large_datasets/dataset.py
+++ b/funasr/datasets/large_datasets/dataset.py
@@ -28,10 +28,11 @@
class AudioDataset(IterableDataset):
- def __init__(self, scp_lists, data_names, data_types, shuffle=True, mode="train"):
+ def __init__(self, scp_lists, data_names, data_types, frontend_conf=None, shuffle=True, mode="train"):
self.scp_lists = scp_lists
self.data_names = data_names
self.data_types = data_types
+ self.frontend_conf = frontend_conf
self.shuffle = shuffle
self.mode = mode
self.epoch = -1
@@ -119,6 +120,11 @@
elif data_type == "sound":
key, path = item.strip().split()
waveform, sampling_rate = torchaudio.load(path)
+ if self.frontend_conf is not None:
+ if sampling_rate != self.frontend_conf["fs"]:
+ waveform = torchaudio.transforms.Resample(orig_freq=sampling_rate,
+ new_freq=self.frontend_conf["fs"])(waveform)
+ sampling_rate = self.frontend_conf["fs"]
waveform = waveform.numpy()
mat = waveform[0]
sample_dict[data_name] = mat
@@ -153,13 +159,14 @@
seg_dict,
punc_dict,
conf,
+ frontend_conf,
mode="train",
batch_mode="padding"):
scp_lists = read_lists(data_list_file)
shuffle = conf.get('shuffle', True)
data_names = conf.get("data_names", "speech,text")
data_types = conf.get("data_types", "kaldi_ark,text")
- dataset = AudioDataset(scp_lists, data_names, data_types, shuffle=shuffle, mode=mode)
+ dataset = AudioDataset(scp_lists, data_names, data_types, frontend_conf=frontend_conf, shuffle=shuffle, mode=mode)
filter_conf = conf.get('filter_conf', {})
filter_fn = partial(filter, **filter_conf)
--
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