#!/usr/bin/env python3 """Test Fun-ASR-Nano + VAD + SPK + PUNC: full pipeline with speaker diarization""" import sys import time def main(): from funasr import AutoModel print("[Fun-ASR-Nano-SPK] Loading model...") t0 = time.time() model = AutoModel( model="FunAudioLLM/Fun-ASR-Nano-2512", trust_remote_code=True, remote_code="./model.py", vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch", vad_kwargs={"max_single_segment_time": 30000}, spk_model="iic/speech_campplus_sv_zh-cn_16k-common", device="cpu", disable_update=True, hub="hf", ) print("[Fun-ASR-Nano-SPK] Model loaded in %.1fs" % (time.time() - t0)) wav_path = model.model_path + "/example/zh.mp3" print("[Fun-ASR-Nano-SPK] Running inference...") t0 = time.time() res = model.generate(input=[wav_path], cache={}, batch_size=1, language="中文") print("[Fun-ASR-Nano-SPK] Inference done in %.1fs" % (time.time() - t0)) if not res or len(res) == 0: print("[Fun-ASR-Nano-SPK] FAILED - empty result") return 1 result = res[0] keys = list(result.keys()) print("[Fun-ASR-Nano-SPK] Result keys: %s" % keys) print("[Fun-ASR-Nano-SPK] Text: %s" % result.get("text", "")) # Verify timestamp ts = result.get("timestamp", None) if ts is None or len(ts) == 0: print("[Fun-ASR-Nano-SPK] FAILED - no timestamp") return 1 print("[Fun-ASR-Nano-SPK] Timestamp count: %d, first: %s" % (len(ts), ts[0])) # Verify sentence_info with speaker labels si = result.get("sentence_info", None) if si is None or len(si) == 0: print("[Fun-ASR-Nano-SPK] FAILED - no sentence_info") return 1 print("[Fun-ASR-Nano-SPK] sentence_info:") for s in si: print(" spk=%d | [%d-%d] %s" % (s["spk"], s["start"], s["end"], s.get("text", s.get("sentence", "")))) has_spk = all("spk" in s for s in si) if not has_spk: print("[Fun-ASR-Nano-SPK] FAILED - missing spk label in sentence_info") return 1 print("[Fun-ASR-Nano-SPK] PASSED") return 0 if __name__ == "__main__": sys.exit(main())