From 3fcb5dcfede0103d2465dd85a2ef6b77af58c7bc Mon Sep 17 00:00:00 2001 From: "shixian.shi" Date: Mon, 15 Jan 2024 20:25:35 +0800 Subject: [PATCH] update scripts --- .../industrial_data_pretraining/seaco_paraformer/demo.py | 2 +- funasr/bin/inference.py | 7 ++----- 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/examples/industrial_data_pretraining/seaco_paraformer/demo.py b/examples/industrial_data_pretraining/seaco_paraformer/demo.py index 5342fa081..cf49e42c4 100644 --- a/examples/industrial_data_pretraining/seaco_paraformer/demo.py +++ b/examples/industrial_data_pretraining/seaco_paraformer/demo.py @@ -12,7 +12,7 @@ model = AutoModel(model="damo/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-co punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", punc_model_revision="v2.0.2", spk_model="damo/speech_campplus_sv_zh-cn_16k-common", - spk_model="v2.0.2", + spk_model_revision="v2.0.2", ) res = model(input=f"{model.model_path}/example/asr_example.wav", diff --git a/funasr/bin/inference.py b/funasr/bin/inference.py index cefee5510..ca8771db0 100644 --- a/funasr/bin/inference.py +++ b/funasr/bin/inference.py @@ -274,12 +274,9 @@ class AutoModel: def generate_with_vad(self, input, input_len=None, **cfg): # step.1: compute the vad model - model = self.vad_model - kwargs = self.vad_kwargs - kwargs.update(cfg) + self.vad_kwargs.update(cfg) beg_vad = time.time() - res = self.generate(input, input_len=input_len, model=model, kwargs=kwargs, **cfg) - vad_res = res + res = self.generate(input, input_len=input_len, model=self.vad_model, kwargs=self.vad_kwargs, **cfg) end_vad = time.time() print(f"time cost vad: {end_vad - beg_vad:0.3f}")