From 7436acc5ddca0ebb7458a0c4c483079346e10715 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期二, 25 四月 2023 16:29:39 +0800
Subject: [PATCH] update
---
funasr/utils/prepare_data.py | 40 +++++++++++++++++++++-------------------
1 files changed, 21 insertions(+), 19 deletions(-)
diff --git a/funasr/utils/prepare_data.py b/funasr/utils/prepare_data.py
index 8ed97d5..4a33421 100644
--- a/funasr/utils/prepare_data.py
+++ b/funasr/utils/prepare_data.py
@@ -36,10 +36,8 @@
f_text.write(sample_name + " " + text_dict[sample_name] + "\n")
else:
filter_count += 1
- logging.info(
- "{}/{} samples in {} are filtered because of the mismatch between wav.scp and text".format(len(wav_lines),
- filter_count,
- dataset))
+ logging.info("{}/{} samples in {} are filtered because of the mismatch between wav.scp and text".
+ format(filter_count, len(wav_lines), dataset))
def wav2num_frame(wav_path, frontend_conf):
@@ -157,30 +155,34 @@
def prepare_data(args, distributed_option):
- if args.dataset_type == "small" and args.train_data_path_and_name_and_type is not None:
- return
- if args.dataset_type == "large" and args.train_data_file is not None:
- return
distributed = distributed_option.distributed
- if not hasattr(args, "train_set"):
- args.train_set = "train"
- if not hasattr(args, "dev_set"):
- args.dev_set = "validation"
if not distributed or distributed_option.dist_rank == 0:
filter_wav_text(args.data_dir, args.train_set)
- filter_wav_text(args.data_dir, args.dev_set)
+ filter_wav_text(args.data_dir, args.valid_set)
if args.dataset_type == "small" and args.train_shape_file is None:
calc_shape(args, args.train_set)
- calc_shape(args, args.dev_set)
+ calc_shape(args, args.valid_set)
if args.dataset_type == "large" and args.train_data_file is None:
generate_data_list(args.data_dir, args.train_set)
- generate_data_list(args.data_dir, args.dev_set)
+ generate_data_list(args.data_dir, args.valid_set)
- args.train_shape_file = [os.path.join(args.data_dir, args.train_set, "speech_shape")]
- args.valid_shape_file = [os.path.join(args.data_dir, args.dev_set, "speech_shape")]
- args.train_data_file = os.path.join(args.data_dir, args.train_set, "data.list")
- args.valid_data_file = os.path.join(args.data_dir, args.dev_set, "data.list")
+ if args.dataset_type == "small":
+ args.train_shape_file = [os.path.join(args.data_dir, args.train_set, "speech_shape")]
+ args.valid_shape_file = [os.path.join(args.data_dir, args.valid_set, "speech_shape")]
+ data_names = args.dataset_conf.get("data_names", "speech,text").split(",")
+ data_types = args.dataset_conf.get("data_types", "sound,text").split(",")
+ args.train_data_path_and_name_and_type = [
+ ["{}/{}/wav.scp".format(args.data_dir, args.train_set), data_names[0], data_types[0]],
+ ["{}/{}/text".format(args.data_dir, args.train_set), data_names[1], data_types[1]]
+ ]
+ args.valid_data_path_and_name_and_type = [
+ ["{}/{}/wav.scp".format(args.data_dir, args.valid_set), data_names[0], data_types[0]],
+ ["{}/{}/text".format(args.data_dir, args.valid_set), data_names[1], data_types[1]]
+ ]
+ else:
+ args.train_data_file = os.path.join(args.data_dir, args.train_set, "data.list")
+ args.valid_data_file = os.path.join(args.data_dir, args.valid_set, "data.list")
if distributed:
dist.barrier()
--
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