From 2a66366be4c2715870e4859fd5a5db6e8a9dc00a Mon Sep 17 00:00:00 2001
From: chenmengzheAAA <123789350+chenmengzheAAA@users.noreply.github.com>
Date: 星期四, 14 九月 2023 19:00:17 +0800
Subject: [PATCH] Merge pull request #956 from alibaba-damo-academy/chenmengzheAAA-patch-4

---
 tests/test_asr_inference_pipeline.py |   32 ++++++++++++++++++++++++++++++++
 1 files changed, 32 insertions(+), 0 deletions(-)

diff --git a/tests/test_asr_inference_pipeline.py b/tests/test_asr_inference_pipeline.py
index b3c5a24..f68f29b 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):
@@ -85,6 +87,7 @@
         rec_result = inference_pipeline(
             audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_hotword.wav')
         logger.info("asr inference result: {0}".format(rec_result))
+        assert rec_result["text"] == "鍥藉姟闄㈠彂灞曠爺绌朵腑蹇冨競鍦虹粡娴庣爺绌舵墍鍓墍闀块倱閮佹澗璁や负"
 
     def test_paraformer_large_aishell1(self):
         inference_pipeline = pipeline(
@@ -93,6 +96,7 @@
         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))
+        assert rec_result["text"] == "娆㈣繋澶у鏉ヤ綋楠岃揪鎽╅櫌鎺ㄥ嚭鐨勮闊宠瘑鍒ā鍨�"
 
     def test_paraformer_large_aishell2(self):
         inference_pipeline = pipeline(
@@ -101,6 +105,7 @@
         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))
+        assert rec_result["text"] == "娆㈣繋澶у鏉ヤ綋楠岃揪鎽╅櫌鎺ㄥ嚭鐨勮闊宠瘑鍒ā鍨�"
 
     def test_paraformer_large_common(self):
         inference_pipeline = pipeline(
@@ -109,6 +114,33 @@
         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))
+        assert rec_result["text"] == "娆㈣繋澶у鏉ヤ綋楠岃揪鎽╅櫌鎺ㄥ嚭鐨勮闊宠瘑鍒ā鍨�"
+
+    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',
+            model_revision='v1.0.6',
+            update_model=False,
+            mode="paraformer_fake_streaming"
+        )
+        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))
+        assert rec_result["text"] == "娆㈣繋澶у鏉ヤ綋楠岃揪鎽╅櫌鎺ㄥ嚭鐨勮闊宠瘑鍒ā鍨�"
+
+    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',
+            model_revision='v1.0.6',
+            update_model=False,
+            mode="paraformer_fake_streaming"
+        )
+        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))
+        assert rec_result["text"] == "娆㈣繋澶у鏉ヤ綋楠岃揪鎽╅櫌鎺ㄥ嚭鐨勮闊宠瘑鍒ā鍨�"
 
     def test_paraformer_tiny_commandword(self):
         inference_pipeline = pipeline(

--
Gitblit v1.9.1