Initial commit: FunASR Speech Recognition Toolkit

Add complete FunASR codebase including models, runtime, and documentation.
2026-07-09 22:38:58 +08:00
commit 6116b1f3c6
3683 changed files with 990984 additions and 0 deletions
@@ -0,0 +1,85 @@
+import unittest
+
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.logger import get_logger
+
+logger = get_logger()
+
+
+class TestFSMNInferencePipelines(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_8k(self):
+        inference_pipeline = pipeline(
+            task=Tasks.voice_activity_detection,
+            model="damo/speech_fsmn_vad_zh-cn-8k-common",
+        )
+        rec_result = inference_pipeline(
+            audio_in="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example_8k.wav"
+        )
+        logger.info("vad inference result: {0}".format(rec_result))
+        assert rec_result["text"] == [
+            [0, 1960],
+            [2870, 6730],
+            [7960, 10180],
+            [12140, 14830],
+            [15740, 19400],
+            [20220, 24230],
+            [25540, 27290],
+            [30070, 30970],
+            [32070, 34280],
+            [35990, 37050],
+            [39400, 41020],
+            [41810, 47320],
+            [48120, 52150],
+            [53560, 58310],
+            [59290, 62210],
+            [63110, 66420],
+            [67300, 68280],
+            [69670, 71770],
+            [73100, 75550],
+            [76850, 78500],
+            [79380, 83280],
+            [85000, 92320],
+            [93560, 94110],
+            [94990, 95620],
+            [96940, 97590],
+            [98400, 100530],
+            [101600, 104890],
+            [108780, 110900],
+            [112020, 113460],
+            [114210, 115030],
+        ]
+
+    def test_16k(self):
+        inference_pipeline = pipeline(
+            task=Tasks.voice_activity_detection,
+            model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+        )
+        rec_result = inference_pipeline(
+            audio_in="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"
+        )
+        logger.info("vad inference result: {0}".format(rec_result))
+        assert rec_result["text"] == [
+            [70, 2340],
+            [2620, 6200],
+            [6480, 23670],
+            [23950, 26250],
+            [26780, 28990],
+            [29950, 31430],
+            [31750, 37600],
+            [38210, 46900],
+            [47310, 49630],
+            [49910, 56460],
+            [56740, 59540],
+            [59820, 70450],
+        ]
+
+
+if __name__ == "__main__":
+    unittest.main()