From 5602ebe208639ad8f91899adeddae0a2f1e39f09 Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期三, 31 一月 2024 10:07:34 +0800
Subject: [PATCH] code update
---
examples/industrial_data_pretraining/seaco_paraformer/demo.py | 2 +-
funasr/models/campplus/utils.py | 2 +-
README.md | 4 ++--
3 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/README.md b/README.md
index 18d02c3..9f34553 100644
--- a/README.md
+++ b/README.md
@@ -144,7 +144,7 @@
```
Note: `chunk_size` is the configuration for streaming latency.` [0,10,5]` indicates that the real-time display granularity is `10*60=600ms`, and the lookahead information is `5*60=300ms`. Each inference input is `600ms` (sample points are `16000*0.6=960`), and the output is the corresponding text. For the last speech segment input, `is_final=True` needs to be set to force the output of the last word.
-### Voice Activity Detection (streaming)
+### Voice Activity Detection (Non-Streaming)
```python
from funasr import AutoModel
@@ -153,7 +153,7 @@
res = model.generate(input=wav_file)
print(res)
```
-### Voice Activity Detection (Non-streaming)
+### Voice Activity Detection (Streaming)
```python
from funasr import AutoModel
diff --git a/examples/industrial_data_pretraining/seaco_paraformer/demo.py b/examples/industrial_data_pretraining/seaco_paraformer/demo.py
index cc292c2..065b698 100644
--- a/examples/industrial_data_pretraining/seaco_paraformer/demo.py
+++ b/examples/industrial_data_pretraining/seaco_paraformer/demo.py
@@ -17,6 +17,6 @@
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',
- # sentence_timestamp=True,
+ # sentence_timestamp=True, # return sentence level information when spk_model is not given
)
print(res)
\ No newline at end of file
diff --git a/funasr/models/campplus/utils.py b/funasr/models/campplus/utils.py
index c81cb7e..935c674 100644
--- a/funasr/models/campplus/utils.py
+++ b/funasr/models/campplus/utils.py
@@ -212,7 +212,7 @@
if overlap > max_overlap:
max_overlap = overlap
sentence_spk = spk
- d['spk'] = sentence_spk
+ d['spk'] = int(sentence_spk)
sd_sentence_list.append(d)
return sd_sentence_list
--
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