From 9b4e9cc8a0311e5243d69b73ed073e7ea441982e Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期三, 27 三月 2024 16:05:29 +0800 Subject: [PATCH] train update --- examples/industrial_data_pretraining/seaco_paraformer/demo.py | 38 ++++++++++++++++++++++++++++++++++---- 1 files changed, 34 insertions(+), 4 deletions(-) diff --git a/examples/industrial_data_pretraining/seaco_paraformer/demo.py b/examples/industrial_data_pretraining/seaco_paraformer/demo.py index 2e6d203..c7f78d3 100644 --- a/examples/industrial_data_pretraining/seaco_paraformer/demo.py +++ b/examples/industrial_data_pretraining/seaco_paraformer/demo.py @@ -5,8 +5,38 @@ from funasr import AutoModel -model = AutoModel(model="../modelscope_models/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404") +model = AutoModel(model="iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", + # vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", + # punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", + # spk_model="iic/speech_campplus_sv_zh-cn_16k-common", + ) -res = model(input="../modelscope_models/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/example/asr_example.wav", - hotword='杈炬懇闄� 榄旀惌') -print(res) \ No newline at end of file + +# example1 +res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", + hotword='杈炬懇闄� 榄旀惌', + # return_raw_text=True, # return raw text recognition results splited by space of equal length with timestamp + # preset_spk_num=2, # preset speaker num for speaker cluster model + # sentence_timestamp=True, # return sentence level information when spk_model is not given + ) +print(res) + + +''' +# tensor or numpy as input +# example2 +import torchaudio +import os +wav_file = os.path.join(model.model_path, "example/asr_example.wav") +input_tensor, sample_rate = torchaudio.load(wav_file) +input_tensor = input_tensor.mean(0) +res = model.generate(input=[input_tensor], batch_size_s=300, is_final=True) + + +# example3 +import soundfile + +wav_file = os.path.join(model.model_path, "example/asr_example.wav") +speech, sample_rate = soundfile.read(wav_file) +res = model.generate(input=[speech], batch_size_s=300, is_final=True) +''' -- Gitblit v1.9.1