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 | 114 ++++++++++++++++++++++++++++++++++++++++++++++++++-------
1 files changed, 100 insertions(+), 14 deletions(-)
diff --git a/examples/industrial_data_pretraining/sense_voice/demo.py b/examples/industrial_data_pretraining/sense_voice/demo.py
index ed583f0..7a15cf2 100644
--- a/examples/industrial_data_pretraining/sense_voice/demo.py
+++ b/examples/industrial_data_pretraining/sense_voice/demo.py
@@ -1,27 +1,113 @@
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
-# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+# 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="/Users/zhifu/Downloads/modelscope_models/SenseVoiceModelscope",
- vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+ model=model_dir,
+ vad_model="fsmn-vad",
vad_kwargs={"max_single_segment_time": 30000},
+ device="cuda:0",
)
-
-input_wav = (
- "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav"
+# 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)
-DecodingOptions = {
- "task": ("ASR", "AED", "SER"),
- "language": "auto",
- "fp16": True,
- "gain_event": True,
-}
-
-res = model.generate(input=input_wav, batch_size_s=0, DecodingOptions=DecodingOptions)
+# 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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