docs

Author: LauraGPT

README.md

@@ -170,12 +170,13 @@ from funasr.utils.postprocess_utils import rich_transcription_postprocess
 
 model_dir = "iic/SenseVoiceSmall"
 m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir, device="cuda:0")
-
+m.eval()
 
 res = m.inference(
     data_in=f"{kwargs['model_path']}/example/en.mp3",
     language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
     use_itn=False,
+    ban_emo_unk=False,
     **kwargs,
 )
 

README_ja.md

@@ -171,12 +171,13 @@ from funasr.utils.postprocess_utils import rich_transcription_postprocess
 
 model_dir = "iic/SenseVoiceSmall"
 m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir, device="cuda:0")
-
+m.eval()
 
 res = m.inference(
     data_in=f"{kwargs['model_path']}/example/en.mp3",
     language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
     use_itn=False,
+    ban_emo_unk=False,
     **kwargs,
 )
 

README_zh.md

@@ -145,7 +145,7 @@ print(text)
 - `use_itn`：输出结果中是否包含标点与逆文本正则化。
 - `batch_size_s` 表示采用动态batch，batch中总音频时长，单位为秒s。
 - `merge_vad`：是否将 vad 模型切割的短音频碎片合成，合并后长度为`merge_length_s`，单位为秒s。
-- `ban_emo_unk`：禁用emo_unk标签，禁用后所有的句子都会被赋与情感标签。
+- `ban_emo_unk`：禁用emo_unk标签，禁用后所有的句子都会被赋与情感标签。默认`False`
 </details>
 
 如果输入均为短音频（小于30s），并且需要批量化推理，为了加快推理效率，可以移除vad模型，并设置`batch_size`
@@ -174,12 +174,13 @@ from funasr.utils.postprocess_utils import rich_transcription_postprocess
 
 model_dir = "iic/SenseVoiceSmall"
 m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir, device="cuda:0")
-
+m.eval()
 
 res = m.inference(
     data_in=f"{kwargs['model_path']}/example/en.mp3",
     language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
     use_itn=False,
+    ban_emo_unk=False,
     **kwargs,
 )
 

demo2.py

@@ -9,12 +9,13 @@
 
 model_dir = "iic/SenseVoiceSmall"
 m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir, device="cuda:0")
-
+m.eval()
 
 res = m.inference(
     data_in=f"{kwargs['model_path']}/example/en.mp3",
     language="auto", # "zh", "en", "yue", "ja", "ko", "nospeech"
     use_itn=False,
+    ban_emo_unk=False,
     **kwargs,
 )