From 219c2482ab755fbd4e49dfbdee91bf1a8a4ec49a Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 19 五月 2023 11:33:27 +0800
Subject: [PATCH] websocket 2pass bugfix
---
tests/test_asr_inference_pipeline.py | 18 ++++++++++++++++++
1 files changed, 18 insertions(+), 0 deletions(-)
diff --git a/tests/test_asr_inference_pipeline.py b/tests/test_asr_inference_pipeline.py
index b3c5a24..9098ea6 100644
--- a/tests/test_asr_inference_pipeline.py
+++ b/tests/test_asr_inference_pipeline.py
@@ -43,6 +43,7 @@
rec_result = inference_pipeline(
audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav')
logger.info("asr inference result: {0}".format(rec_result))
+ assert rec_result["text"] == "姣忎竴澶╅兘瑕佸揩涔愬枖"
def test_paraformer(self):
inference_pipeline = pipeline(
@@ -51,6 +52,7 @@
rec_result = inference_pipeline(
audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav')
logger.info("asr inference result: {0}".format(rec_result))
+ assert rec_result["text"] == "姣忎竴澶╅兘瑕佸揩涔愬枖"
class TestMfccaInferencePipelines(unittest.TestCase):
@@ -110,6 +112,22 @@
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
logger.info("asr inference result: {0}".format(rec_result))
+ def test_paraformer_large_online_common(self):
+ inference_pipeline = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online')
+ rec_result = inference_pipeline(
+ audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
+ logger.info("asr inference result: {0}".format(rec_result))
+
+ def test_paraformer_online_common(self):
+ inference_pipeline = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online')
+ rec_result = inference_pipeline(
+ audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
+ logger.info("asr inference result: {0}".format(rec_result))
+
def test_paraformer_tiny_commandword(self):
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
--
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