From 4e2b22260b0e5c4aa9ad98c9a4f6e5885dede836 Mon Sep 17 00:00:00 2001
From: nl <3210346136@qq.com>
Date: Wed, 18 Sep 2019 14:29:55 +0800
Subject: [PATCH] =?UTF-8?q?=E9=80=82=E5=BA=94=E6=80=A7=E4=BF=AE=E6=94=B9?=
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---
 SpeechModel24.py    | 1 -
 SpeechModel25.py    | 1 -
 SpeechModel251.py   | 1 -
 SpeechModel251_p.py | 1 -
 SpeechModel252.py   | 5 ++---
 SpeechModel26.py    | 1 -
 SpeechModel261.py   | 3 +--
 SpeechModel261_p.py | 3 +--
 8 files changed, 4 insertions(+), 12 deletions(-)

diff --git a/SpeechModel24.py b/SpeechModel24.py
index f9e125b..c9883ca 100644
--- a/SpeechModel24.py
+++ b/SpeechModel24.py
@@ -304,7 +304,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel25.py b/SpeechModel25.py
index fe6f999..f121479 100644
--- a/SpeechModel25.py
+++ b/SpeechModel25.py
@@ -313,7 +313,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel251.py b/SpeechModel251.py
index 0f2831e..a304e62 100644
--- a/SpeechModel251.py
+++ b/SpeechModel251.py
@@ -339,7 +339,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel251_p.py b/SpeechModel251_p.py
index d79f67d..20b7394 100644
--- a/SpeechModel251_p.py
+++ b/SpeechModel251_p.py
@@ -327,7 +327,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel252.py b/SpeechModel252.py
index b914af1..8b904ad 100644
--- a/SpeechModel252.py
+++ b/SpeechModel252.py
@@ -31,9 +31,9 @@ class ModelSpeech(): # 语音模型类
 	def __init__(self, datapath):
 		'''
 		初始化
-		默认输出的拼音的表示大小是1422，即1421个拼音+1个空白块
+		默认输出的拼音的表示大小是1424，即1423个拼音+1个空白块
 		'''
-		MS_OUTPUT_SIZE = 1422
+		MS_OUTPUT_SIZE = 1424
 		self.MS_OUTPUT_SIZE = MS_OUTPUT_SIZE # 神经网络最终输出的每一个字符向量维度的大小
 		#self.BATCH_SIZE = BATCH_SIZE # 一次训练的batch
 		self.label_max_string_length = 64
@@ -331,7 +331,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel26.py b/SpeechModel26.py
index 95097c3..9860243 100644
--- a/SpeechModel26.py
+++ b/SpeechModel26.py
@@ -331,7 +331,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel261.py b/SpeechModel261.py
index 2ed70c9..eb0e716 100644
--- a/SpeechModel261.py
+++ b/SpeechModel261.py
@@ -35,7 +35,7 @@ class ModelSpeech(): # 语音模型类
 		初始化
 		默认输出的拼音的表示大小是1422，即1421个拼音+1个空白块
 		'''
-		MS_OUTPUT_SIZE = 1422
+		MS_OUTPUT_SIZE = 1424
 		self.MS_OUTPUT_SIZE = MS_OUTPUT_SIZE # 神经网络最终输出的每一个字符向量维度的大小
 		#self.BATCH_SIZE = BATCH_SIZE # 一次训练的batch
 		self.label_max_string_length = 64
@@ -353,7 +353,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data
diff --git a/SpeechModel261_p.py b/SpeechModel261_p.py
index bbd8708..300f825 100644
--- a/SpeechModel261_p.py
+++ b/SpeechModel261_p.py
@@ -35,7 +35,7 @@ class ModelSpeech(): # 语音模型类
 		初始化
 		默认输出的拼音的表示大小是1422，即1421个拼音+1个空白块
 		'''
-		MS_OUTPUT_SIZE = 1422
+		MS_OUTPUT_SIZE = 1424
 		self.MS_OUTPUT_SIZE = MS_OUTPUT_SIZE # 神经网络最终输出的每一个字符向量维度的大小
 		#self.BATCH_SIZE = BATCH_SIZE # 一次训练的batch
 		self.label_max_string_length = 64
@@ -344,7 +344,6 @@ class ModelSpeech(): # 语音模型类
 	def RecognizeSpeech(self, wavsignal, fs):
 		'''
 		最终做语音识别用的函数，识别一个wav序列的语音
-		不过这里现在还有bug
 		'''
 		
 		#data = self.data