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2026-08-20 13:12:50 +00:00
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import numpy as np
from qwen2_streaming import parse_response
from whisper_baseline import energy_vad_endpoints, energy_vad_events
def test_qwen_json_and_native_event_token_parsing():
transcript, events = parse_response('{"transcript":"你好","acoustic_events":["noise", "<|laughter|>"]}')
assert transcript == "你好"
assert events == ["<|noise|>", "<|laughter|>"]
def test_600ms_vad_splits_a_long_pause():
sr = 1000
audio = np.concatenate([np.ones(sr), np.zeros(700), np.ones(sr)]) * 0.1
endpoints = energy_vad_endpoints(audio, sr, silence_ms=600)
assert len(endpoints) == 2
assert 900 <= endpoints[0] <= 1100
def test_vad_separates_acoustic_endpoint_from_600ms_decision():
sr = 1000
audio = np.concatenate([np.ones(sr), np.zeros(700), np.ones(sr)]) * 0.1
event = energy_vad_events(audio, sr, silence_ms=600)[0]
assert 900 <= event.speech_endpoint <= 1100
assert 590 <= event.decision - event.speech_endpoint <= 610