From 1254e8aee1e3200acc2b4752c6822bfc1a21b22f Mon Sep 17 00:00:00 2001
From: StevenH <hongfanmeng@gmail.com>
Date: 星期六, 26 十月 2024 12:19:07 +0800
Subject: [PATCH] optimize ComputeDecibel in fsmn-vad model by using numpy (#2174)
---
fun_text_processing/inverse_text_normalization/fr/verbalizers/word.py | 11 ++++++++---
1 files changed, 8 insertions(+), 3 deletions(-)
diff --git a/fun_text_processing/inverse_text_normalization/fr/verbalizers/word.py b/fun_text_processing/inverse_text_normalization/fr/verbalizers/word.py
index 1339dac..5a9fc1c 100644
--- a/fun_text_processing/inverse_text_normalization/fr/verbalizers/word.py
+++ b/fun_text_processing/inverse_text_normalization/fr/verbalizers/word.py
@@ -1,4 +1,3 @@
-
import pynini
from fun_text_processing.inverse_text_normalization.fr.graph_utils import (
DAMO_CHAR,
@@ -18,7 +17,13 @@
def __init__(self):
super().__init__(name="word", kind="verbalize")
chars = pynini.closure(DAMO_CHAR - " ", 1)
- char = pynutil.delete("name:") + delete_space + pynutil.delete("\"") + chars + pynutil.delete("\"")
- graph = char @ pynini.cdrewrite(pynini.cross(u"\u00A0", " "), "", "", DAMO_SIGMA)
+ char = (
+ pynutil.delete("name:")
+ + delete_space
+ + pynutil.delete('"')
+ + chars
+ + pynutil.delete('"')
+ )
+ graph = char @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
self.fst = graph.optimize()
--
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