From aa910b9860d420877d73f36c71302995587b0a49 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 27 四月 2023 12:03:31 +0800
Subject: [PATCH] update adavanced clas, including model and dataset
---
funasr/datasets/large_datasets/dataset.py | 40 +++++++++++++++++++++++++++++++++++++---
1 files changed, 37 insertions(+), 3 deletions(-)
diff --git a/funasr/datasets/large_datasets/dataset.py b/funasr/datasets/large_datasets/dataset.py
index b0e1b8f..500257c 100644
--- a/funasr/datasets/large_datasets/dataset.py
+++ b/funasr/datasets/large_datasets/dataset.py
@@ -28,7 +28,7 @@
class AudioDataset(IterableDataset):
- def __init__(self, scp_lists, data_names, data_types, frontend_conf=None, shuffle=True, mode="train"):
+ def __init__(self, scp_lists, data_names, data_types, frontend_conf=None, shuffle=True, mode="train", pre_hwlist=None, pre_prob=0.0):
self.scp_lists = scp_lists
self.data_names = data_names
self.data_types = data_types
@@ -40,6 +40,8 @@
self.world_size = 1
self.worker_id = 0
self.num_workers = 1
+ self.pre_hwlist = pre_hwlist
+ self.pre_prob = pre_prob
def set_epoch(self, epoch):
self.epoch = epoch
@@ -131,6 +133,13 @@
sample_dict["sampling_rate"] = sampling_rate
if data_name == "speech":
sample_dict["key"] = key
+ elif data_type == "text_hotword":
+ text = item
+ segs = text.strip().split()
+ sample_dict[data_name] = segs[1:]
+ if "key" not in sample_dict:
+ sample_dict["key"] = segs[0]
+ sample_dict['hw_tag'] = 1
else:
text = item
segs = text.strip().split()
@@ -167,14 +176,39 @@
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, frontend_conf=frontend_conf, shuffle=shuffle, mode=mode)
+
+ pre_hwfile = conf.get("pre_hwlist", None)
+ pre_prob = conf.get("pre_prob", 0)
+
+ hw_config = {"sample_rate": conf.get("sample_rate", 0.6),
+ "double_rate": conf.get("double_rate", 0.1),
+ "hotword_min_length": conf.get("hotword_min_length", 2),
+ "hotword_max_length": conf.get("hotword_max_length", 8)}
+
+
+ if pre_hwfile is not None:
+ pre_hwlist = []
+ with open(pre_hwfile, 'r') as fin:
+ for line in fin.readlines():
+ pre_hwlist.append(line.strip())
+ else:
+ pre_hwlist = None
+ # logging.warning("Previous hwlist: {}".format(pre_hwlist))
+ dataset = AudioDataset(scp_lists,
+ data_names,
+ data_types,
+ frontend_conf=frontend_conf,
+ shuffle=shuffle,
+ mode=mode,
+ pre_hwlist=pre_hwlist,
+ pre_prob=pre_prob)
filter_conf = conf.get('filter_conf', {})
filter_fn = partial(filter, **filter_conf)
dataset = FilterIterDataPipe(dataset, fn=filter_fn)
if "text" in data_names:
- vocab = {'vocab': dict, 'seg_dict': seg_dict, 'punc_dict': punc_dict, 'bpe_tokenizer': bpe_tokenizer}
+ vocab = {'vocab': dict, 'seg_dict': seg_dict, 'punc_dict': punc_dict, 'bpe_tokenizer': bpe_tokenizer, 'hw_config': hw_config}
tokenize_fn = partial(tokenize, **vocab)
dataset = MapperIterDataPipe(dataset, fn=tokenize_fn)
--
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