From 29754a7668e00b7c7e4c4fb13a5373f47b5385c3 Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期五, 10 三月 2023 16:41:56 +0800
Subject: [PATCH] update unittest
---
tests/test_asr_inference_pipeline.py | 53 ++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 files changed, 52 insertions(+), 1 deletions(-)
diff --git a/tests/test_asr_inference_pipeline.py b/tests/test_asr_inference_pipeline.py
index ba1625f..c3b6c06 100644
--- a/tests/test_asr_inference_pipeline.py
+++ b/tests/test_asr_inference_pipeline.py
@@ -62,11 +62,62 @@
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))
+
+
if __name__ == '__main__':
unittest.main()
--
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