Feat: option for skipping invalid transcription

webui_train.py

@@ -150,7 +150,7 @@ def resample(model_name, normalize, trim, num_processes):
     return True, "Step 2, Success: 音声ファイルの前処理が完了しました"
 
 
-def preprocess_text(model_name, use_jp_extra, val_per_lang):
+def preprocess_text(model_name, use_jp_extra, val_per_lang, skip_invalid=False):
     logger.info("Step 3: start preprocessing text...")
     dataset_path, lbl_path, train_path, val_path, config_path = get_path(model_name)
     try:
@@ -180,6 +180,8 @@ def preprocess_text(model_name, use_jp_extra, val_per_lang):
     ]
     if use_jp_extra:
         cmd.append("--use_jp_extra")
+    if skip_invalid:
+        cmd.append("--skip_invalid")
     success, message = run_script_with_log(cmd)
     if not success:
         logger.error(f"Step 3: preprocessing text failed.")
@@ -265,6 +267,7 @@ def preprocess_all(
     use_jp_extra,
     val_per_lang,
     log_interval,
+    skip_invalid=False,
 ):
     if model_name == "":
         return False, "Error: モデル名を入力してください"
@@ -285,7 +288,9 @@ def preprocess_all(
     success, message = resample(model_name, normalize, trim, num_processes)
     if not success:
         return False, message
-    success, message = preprocess_text(model_name, use_jp_extra, val_per_lang)
+    success, message = preprocess_text(
+        model_name, use_jp_extra, val_per_lang, skip_invalid
+    )
     if not success:
         return False, message
     success, message = bert_gen(model_name)  # bert_genは重いのでプロセス数いじらない
@@ -490,6 +495,10 @@ if __name__ == "__main__":
                         maximum=1000,
                         step=10,
                     )
+                    skip_invalid = gr.Checkbox(
+                        label="日本語処理でエラーが出たファイルは学習に使わない",
+                        value=False,
+                    )
                     gr.Markdown("学習時に特定の部分を凍結させるかどうか")
                     freeze_EN_bert = gr.Checkbox(
                         label="英語bert部分を凍結",
@@ -599,6 +608,10 @@ if __name__ == "__main__":
                         maximum=100,
                         step=1,
                     )
+                    skip_invalid_manual = gr.Checkbox(
+                        label="日本語処理でエラーが出たファイルは学習に使わない",
+                        value=False,
+                    )
                 with gr.Column():
                     preprocess_text_btn = gr.Button(value="実行", variant="primary")
                     info_preprocess_text = gr.Textbox(label="状況")
@@ -661,6 +674,7 @@ if __name__ == "__main__":
                 use_jp_extra,
                 val_per_lang,
                 log_interval,
+                skip_invalid,
             ],
             outputs=[info_all],
         )
@@ -694,7 +708,12 @@ if __name__ == "__main__":
         )
         preprocess_text_btn.click(
             second_elem_of(preprocess_text),
-            inputs=[model_name, use_jp_extra_manual, val_per_lang_manual],
+            inputs=[
+                model_name,
+                use_jp_extra_manual,
+                val_per_lang_manual,
+                skip_invalid_manual,
+            ],
             outputs=[info_preprocess_text],
         )
         bert_gen_btn.click(