Files
2026-07-13 13:25:10 +08:00

67 lines
2.1 KiB
Python

#!/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())