From 900346d13d35552fad1b4bd1151478d875a6fbf8 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期四, 09 三月 2023 16:36:19 +0800
Subject: [PATCH] update tp_inference outputs
---
funasr/bin/tp_inference.py | 8 ++++++--
1 files changed, 6 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/tp_inference.py b/funasr/bin/tp_inference.py
index 7f9890f..b57411b 100644
--- a/funasr/bin/tp_inference.py
+++ b/funasr/bin/tp_inference.py
@@ -112,6 +112,9 @@
tp_model, tp_train_args = ASRTask.build_model_from_file(
timestamp_infer_config, timestamp_model_file, device
)
+ if 'cuda' in device:
+ tp_model = tp_model.cuda()
+
frontend = None
if tp_train_args.frontend is not None:
frontend = WavFrontend(cmvn_file=timestamp_cmvn_file, **tp_train_args.frontend_conf)
@@ -240,7 +243,6 @@
device = "cuda"
else:
device = "cpu"
-
# 1. Set random-seed
set_all_random_seed(seed)
@@ -302,7 +304,9 @@
token = speechtext2timestamp.converter.ids2tokens(batch['text'][batch_id])
ts_str, ts_list = time_stamp_lfr6_advance(us_alphas[batch_id], us_cif_peak[batch_id], token)
logging.warning(ts_str)
- tp_result_list.append({'text':"".join([i for i in token if i != '<sil>']), 'timestamp': ts_list})
+ item = {'key': key, 'value': ts_str, 'timestamp':ts_list}
+ # tp_result_list.append({'text':"".join([i for i in token if i != '<sil>']), 'timestamp': ts_list})
+ tp_result_list.append(item)
return tp_result_list
return _forward
--
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