From b46ecb3e3c79a44ba2e078bed703c52d83891baa Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期五, 10 三月 2023 17:31:37 +0800
Subject: [PATCH] update unittest
---
tests/test_asr_inference_pipeline.py | 215 +++++++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 214 insertions(+), 1 deletions(-)
diff --git a/tests/test_asr_inference_pipeline.py b/tests/test_asr_inference_pipeline.py
index 8ff40a5..9cfa206 100644
--- a/tests/test_asr_inference_pipeline.py
+++ b/tests/test_asr_inference_pipeline.py
@@ -76,13 +76,226 @@
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')
+ 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))
+
+ def test_uniasr_2pass_fr_common_offline(self):
+ inference_pipeline = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model='damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-offline')
+ rec_result = inference_pipeline(
+ audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fr.wav',
+ param_dict={"decoding_model":"offline"})
+ logger.info("asr inference result: {0}".format(rec_result))
+
+ def test_uniasr_2pass_fr_common_online(self):
+ inference_pipeline = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model='damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-online')
+ rec_result = inference_pipeline(
+ audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fr.wav',
+ param_dict={"decoding_model":"normal"})
+ logger.info("asr inference result: {0}".format(rec_result))
+
if __name__ == '__main__':
unittest.main()
--
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