From 1596f6f414f6f41da66506debb1dff19fffeb3ec Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 24 六月 2024 11:55:17 +0800
Subject: [PATCH] fixbug hotwords

---
 funasr/datasets/large_datasets/utils/filter.py |   27 +++++++++++++++++++++++++++
 1 files changed, 27 insertions(+), 0 deletions(-)

diff --git a/funasr/datasets/large_datasets/utils/filter.py b/funasr/datasets/large_datasets/utils/filter.py
new file mode 100644
index 0000000..adc8fa0
--- /dev/null
+++ b/funasr/datasets/large_datasets/utils/filter.py
@@ -0,0 +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 or "text" in data
+
+    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:
+        num_tokens = len(data["text"])
+        return token_length_min < num_tokens < token_length_max

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