From 3b39e54e1dcd3fe702fd29de0c84cb47f64e3340 Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期五, 10 三月 2023 17:28:35 +0800
Subject: [PATCH] update unittest

---
 tests/test_asr_inference_pipeline.py |  213 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 files changed, 212 insertions(+), 1 deletions(-)

diff --git a/tests/test_asr_inference_pipeline.py b/tests/test_asr_inference_pipeline.py
index ba1625f..b0c5c12 100644
--- a/tests/test_asr_inference_pipeline.py
+++ b/tests/test_asr_inference_pipeline.py
@@ -62,11 +62,222 @@
     def test_alimeeting(self):
         inference_pipeline = pipeline(
             task=Tasks.auto_speech_recognition,
-            model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950')
+            model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950',
+            model_revision='v3.0.0')
         rec_result = inference_pipeline(
             audio_in='16:32https://pre.modelscope.cn/api/v1/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/repo?Revision=master&FilePath=example/asr_example_mc.wav')
         logger.info("asr inference result: {0}".format(rec_result))
 
 
+class TestParaformerInferencePipelines(unittest.TestCase):
+    def test_funasr_path(self):
+        import funasr
+        import os
+        logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
+
+    def test_paraformer_large_contextual_common(self):
+        param_dict = dict()
+        param_dict['hotword'] = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/hotword.txt"
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404',
+            param_dict=param_dict)
+        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))
+
+    def test_paraformer_large_aishell1(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-aishell1-vocab8404-pytorch')
+        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_large_aishell2(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-aishell2-vocab8404-pytorch')
+        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_large_common(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
+        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,
+            model='damo/speech_paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh_command.wav')
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_paraformer_8k(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_8K.wav')
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_paraformer_aishell1(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch')
+        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_aishell2(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch')
+        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))
+
+
+class TestParaformerBertInferencePipelines(unittest.TestCase):
+    def test_funasr_path(self):
+        import funasr
+        import os
+        logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
+
+    def test_aishell1(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch')
+        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))
+
+    def test_aishell2(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch')
+        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))
+
+
+class TestUniasrInferencePipelines(unittest.TestCase):
+    def test_funasr_path(self):
+        import funasr
+        import os
+        logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
+
+    def test_uniasr_2pass_cantonese_chs_16k_common_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_cantonese-CHS.wav',
+            param_dict={"decoding_model": "offline"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_cantonese_chs_16k_common_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_cantonese-CHS.wav',
+            param_dict={"decoding_model":"normal"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_cn_dialect_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-cn-dialect-16k-vocab8358-tensorflow1-offline')
+        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_uniasr_2pass_cn_dialect_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-cn-dialect-16k-vocab8358-tensorflow1-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_uniasr_2pass_de_common_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-offline')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_de.wav',
+            param_dict={"decoding_model":"offline"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_de_common_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_de.wav',
+            param_dict={"decoding_model":"normal"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_en_common_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-offline')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav',
+            param_dict={"decoding_model":"offline"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_en_common_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav',
+            param_dict={"decoding_model":"normal"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_es_common_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-offline')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_es.wav',
+            param_dict={"decoding_model":"offline"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_es_common_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_es.wav',
+            param_dict={"decoding_model":"normal"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_fa_common_offline(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-offline')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fa.wav',
+            param_dict={"decoding_model":"offline"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+    def test_uniasr_2pass_fa_common_online(self):
+        inference_pipeline = pipeline(
+            task=Tasks.auto_speech_recognition,
+            model='damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online')
+        rec_result = inference_pipeline(
+            audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fa.wav',
+            param_dict={"decoding_model":"normal"})
+        logger.info("asr inference result: {0}".format(rec_result))
+
+
 if __name__ == '__main__':
     unittest.main()

--
Gitblit v1.9.1