完成导出英文和数字功能

kslz · Mar 14, 2023 · ae5f64e · ae5f64e
1 parent c138bad
commit ae5f64e
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Showing 2 changed files with 12 additions and 1 deletion.
diff --git a/ui/mygui.py b/ui/mygui.py
@@ -139,6 +139,7 @@ def __init__(self, parent, dataset_id):
         self.ui.pushButton_next.clicked.connect(self.output_info)
         self.ui.pushButton_read_preinstall.clicked.connect(self.use_preinstall)
         self.ui.pushButton_back.clicked.connect(self.close)
+        self.ui.comboBox_geshi.currentIndexChanged.connect(self.auto_skip_change_enable)
 
     def add_info(self):
         """
@@ -152,15 +153,25 @@ def add_info(self):
         self.ui.comboBox_preinstall.addItem(f"VITS", GeshiStr.vits)
         self.ui.comboBox_preinstall.setCurrentText(GeshiStr.vits)
         self.use_preinstall()
+        self.auto_skip_change_enable()
         result_list = get_speakers(self.dataset_id)
         for line in result_list:
             if line[1] == "shibie_spk":
                 text = f"{line[0]}-已识别"
             else:
                 text = f"{line[0]}-未识别"
             self.ui.comboBox_speaker.addItem(text, line)
+            # self.ui.checkBox_auto_skip.setEnabled(False)
+
+    def auto_skip_change_enable(self):
+        self.ui.checkBox_auto_skip.setEnabled(True)
+        self.ui.checkBox_auto_skip.setChecked(False)
+        now_geshi = self.ui.comboBox_geshi.currentData()
+        if now_geshi == GeshiStr.aishell3:
+            self.ui.checkBox_auto_skip.setChecked(True)
             self.ui.checkBox_auto_skip.setEnabled(False)
 
+
     def use_preinstall(self):
         pre_name = self.ui.comboBox_preinstall.currentText()
         if pre_name == GeshiStr.vits:

diff --git a/utils/tools.py b/utils/tools.py
@@ -153,7 +153,7 @@ def output_wav_file(wav_path, start_time, end_time, new_path, sample_rate, chann
         if raw_channels > channels == 1:
             normalization += 3
         result = result.filter("loudnorm", I=normalization, TP=-1, LRA=11, linear="true")
-        result.output(new_path, format='wav', ac=channels, ar=sample_rate, acodec=codec).run_async(quiet=True)
+    result.output(new_path, format='wav', ac=channels, ar=sample_rate, acodec=codec).run_async(quiet=True)
 
     # 从长音频文件中提取指定时间段的音频并先转为单声道音频，再进行归一化
     # 注意：如果直接将双声道音频转换为单声道，并进行归一化，会导致单声道音频的输出结果偏低（相当于降低了3）