From 23e7ddebccd3b05cf7ef89809bcfe565ad6dfa1f Mon Sep 17 00:00:00 2001
From: majic31 <majic31@163.com>
Date: 星期二, 24 十二月 2024 10:00:14 +0800
Subject: [PATCH] Fix the variable name (#2328)

---
 examples/industrial_data_pretraining/sense_voice/demo.py |  113 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 files changed, 113 insertions(+), 0 deletions(-)

diff --git a/examples/industrial_data_pretraining/sense_voice/demo.py b/examples/industrial_data_pretraining/sense_voice/demo.py
new file mode 100644
index 0000000..7a15cf2
--- /dev/null
+++ b/examples/industrial_data_pretraining/sense_voice/demo.py
@@ -0,0 +1,113 @@
+#!/usr/bin/env python3
+# -*- encoding: utf-8 -*-
+# Copyright FunASR (https://github.com/FunAudioLLM/SenseVoice). All Rights Reserved.
+#  MIT License  (https://opensource.org/licenses/MIT)
+
+from funasr import AutoModel
+from funasr.utils.postprocess_utils import rich_transcription_postprocess
+
+model_dir = "iic/SenseVoiceSmall"
+
+
+model = AutoModel(
+    model=model_dir,
+    vad_model="fsmn-vad",
+    vad_kwargs={"max_single_segment_time": 30000},
+    device="cuda:0",
+)
+
+# en
+res = model.generate(
+    input=f"{model.model_path}/example/en.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)
+
+# en with timestamp
+res = model.generate(
+    input=f"{model.model_path}/example/en.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+    output_timestamp=True,
+)
+print(res)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)
+
+# zh
+res = model.generate(
+    input=f"{model.model_path}/example/zh.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)
+
+# zh with timestamp
+res = model.generate(
+    input=f"{model.model_path}/example/zh.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+    output_timestamp=True,
+)
+print(res)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)
+
+# yue
+res = model.generate(
+    input=f"{model.model_path}/example/yue.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)
+
+# ja
+res = model.generate(
+    input=f"{model.model_path}/example/ja.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)
+
+
+# ko
+res = model.generate(
+    input=f"{model.model_path}/example/ko.mp3",
+    cache={},
+    language="auto",  # "zh", "en", "yue", "ja", "ko", "nospeech"
+    use_itn=True,
+    batch_size_s=60,
+    merge_vad=True,  #
+    merge_length_s=15,
+)
+text = rich_transcription_postprocess(res[0]["text"])
+print(text)

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