python/FunASR-XL.git

			@@ -20,11 +20,14 @@
			print(rec_result)
			```
			#### [Paraformer-online Model](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary)
			##### Streaming Decoding
			```python
			inference_pipeline = pipeline(
			task=Tasks.auto_speech_recognition,
			model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
			model_revision='v1.0.4'
			model_revision='v1.0.6',
			update_model=False,
			mode='paraformer_streaming'
			)
			import soundfile
			speech, sample_rate = soundfile.read("example/asr_example.wav")
			@@ -41,10 +44,27 @@
			rec_result = inference_pipeline(audio_in=speech_chunk, param_dict=param_dict)
			print(rec_result)
			```

			##### Fake Streaming Decoding
			```python
			from modelscope.pipelines import pipeline
			from modelscope.utils.constant import Tasks

			inference_pipeline = pipeline(
			task=Tasks.auto_speech_recognition,
			model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
			model_revision='v1.0.6',
			update_model=False,
			mode="paraformer_fake_streaming"
			)
			audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'
			rec_result = inference_pipeline(audio_in=audio_in)
			print(rec_result)
			```
			Full code of demo, please ref to [demo](https://github.com/alibaba-damo-academy/FunASR/discussions/241)

			#### [UniASR Model](https://www.modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/summary)
			There are three decoding mode for UniASR model(`fast`、`normal`、`offline`), for more model detailes, please refer to [docs](https://www.modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/summary)
			There are three decoding mode for UniASR model(`fast`、`normal`、`offline`), for more model details, please refer to [docs](https://www.modelscope.cn/models/damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/summary)
			```python
			decoding_model = "fast" # "fast"、"normal"、"offline"
			inference_pipeline = pipeline(
			@@ -61,7 +81,7 @@
			Undo

			#### [MFCCA Model](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)
			For more model detailes, please refer to [docs](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)
			For more model details, please refer to [docs](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary)
			```python
			from modelscope.pipelines import pipeline
			from modelscope.utils.constant import Tasks