From 1cdb3cc28d4d89a576cc06e5cd8eb80da1f3a3aa Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 26 四月 2024 11:27:39 +0800
Subject: [PATCH] Dev gzf exp (#1665)
---
funasr/datasets/large_datasets/utils/filter.py | 35 ++++++++++++++++++++++-------------
1 files changed, 22 insertions(+), 13 deletions(-)
diff --git a/funasr/datasets/large_datasets/utils/filter.py b/funasr/datasets/large_datasets/utils/filter.py
index 91ba4be..adc8fa0 100644
--- a/funasr/datasets/large_datasets/utils/filter.py
+++ b/funasr/datasets/large_datasets/utils/filter.py
@@ -1,18 +1,27 @@
#!/usr/bin/env python
-def filter(data,
- speech_length_min=100,
- speech_length_max=15000,
- token_length_min=0,
- token_length_max=200):
- assert "speech" in data
- assert "text" in data
+def filter(
+ data, speech_length_min=100, speech_length_max=15000, token_length_min=0, token_length_max=200
+):
+ assert "speech" in data or "text" in data
- if "sampling_rate" in data:
- speech_length = (data["speech"].shape[0] / data["sampling_rate"]) * 1000.
+ if "speech" in data and "text" in data:
+ if "sampling_rate" in data:
+ speech_length = (data["speech"].shape[0] / data["sampling_rate"]) * 1000.0
+ else:
+ speech_length = data["speech"].shape[0]
+ num_tokens = len(data["text"])
+ return (
+ speech_length_min < speech_length < speech_length_max
+ and token_length_min < num_tokens < token_length_max
+ )
+ elif "speech" in data:
+ if "sampling_rate" in data:
+ speech_length = (data["speech"].shape[0] / data["sampling_rate"]) * 1000.0
+ else:
+ speech_length = data["speech"].shape[0]
+ return speech_length_min < speech_length < speech_length_max
else:
- speech_length = data["speech"].shape[0]
- num_tokens = len(data['text'])
-
- return speech_length_min < speech_length < speech_length_max and token_length_min < num_tokens < token_length_max
+ num_tokens = len(data["text"])
+ return token_length_min < num_tokens < token_length_max
--
Gitblit v1.9.1