From a1a33c2a20b9de7114d42e07a2ad7d6a1d2e0f8f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 16 二月 2023 16:46:52 +0800
Subject: [PATCH] readme
---
funasr/bin/asr_inference_uniasr.py | 16 ++++++++++++++--
1 files changed, 14 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/asr_inference_uniasr.py b/funasr/bin/asr_inference_uniasr.py
index cfec9a0..db09d31 100644
--- a/funasr/bin/asr_inference_uniasr.py
+++ b/funasr/bin/asr_inference_uniasr.py
@@ -397,7 +397,7 @@
device = "cuda"
else:
device = "cpu"
-
+
# 1. Set random-seed
set_all_random_seed(seed)
@@ -439,6 +439,18 @@
if isinstance(raw_inputs, torch.Tensor):
raw_inputs = raw_inputs.numpy()
data_path_and_name_and_type = [raw_inputs, "speech", "waveform"]
+ if param_dict is not None and "decoding_model" in param_dict:
+ if param_dict["decoding_model"] == "fast":
+ speech2text.decoding_ind = 0
+ speech2text.decoding_mode = "model1"
+ elif param_dict["decoding_model"] == "normal":
+ speech2text.decoding_ind = 0
+ speech2text.decoding_mode = "model2"
+ elif param_dict["decoding_model"] == "offline":
+ speech2text.decoding_ind = 1
+ speech2text.decoding_mode = "model2"
+ else:
+ raise NotImplementedError("unsupported decoding model {}".format(param_dict["decoding_model"]))
loader = ASRTask.build_streaming_iterator(
data_path_and_name_and_type,
dtype=dtype,
@@ -492,7 +504,7 @@
ibest_writer["score"][key] = str(hyp.score)
if text is not None:
- text_postprocessed = postprocess_utils.sentence_postprocess(token)
+ text_postprocessed, _ = postprocess_utils.sentence_postprocess(token)
item = {'key': key, 'value': text_postprocessed}
asr_result_list.append(item)
finish_count += 1
--
Gitblit v1.9.1