游雁
2023-05-19 219c2482ab755fbd4e49dfbdee91bf1a8a4ec49a
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"] == "每一天都要快乐喔"
    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"] == "每一天都要快乐喔"
class TestMfccaInferencePipelines(unittest.TestCase):
@@ -65,7 +67,7 @@
            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')
            audio_in='https://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))
@@ -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,