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| """
座舱声学环境分类器
"""
class AcousticEnvironmentClassifier:
"""
分类座舱声学环境→适配DMS参数
场景:
- 安静(停车)
- 城市低速(引擎+路面)
- 高速(风噪为主)
- 恶劣天气(雨声)
- 嘈杂(乘客交谈)
"""
def __init__(self):
self.categories = {
'quiet': {'noise_db': '<40', 'snr': '>20dB'},
'city': {'noise_db': '40-60', 'snr': '10-20dB'},
'highway': {'noise_db': '60-75', 'snr': '5-15dB'},
'rain': {'noise_db': '50-65', 'snr': '5-10dB'},
'noisy_cabin': {'noise_db': '55-70', 'snr': '5-10dB'}
}
def classify(self, audio_features: dict) -> dict:
"""分类声学环境"""
db = audio_features.get('noise_level', 50)
spectral_centroid = audio_features.get('spectral_centroid', 1000)
if db < 40:
env = 'quiet'
elif db < 60:
if spectral_centroid > 3000:
env = 'rain'
else:
env = 'city'
elif db < 75:
if spectral_centroid < 500:
env = 'highway'
else:
env = 'noisy_cabin'
else:
env = 'noisy_cabin'
return {
'environment': env,
'noise_level': db,
'dms_adjustments': self._get_adjustments(env)
}
def _get_adjustments(self, env):
adjustments = {
'quiet': {'mic_gain': 'low', 'vad_threshold': 'low', 'ser_confidence': 'high'},
'city': {'mic_gain': 'medium', 'vad_threshold': 'medium', 'ser_confidence': 'medium'},
'highway': {'mic_gain': 'high', 'vad_threshold': 'high', 'ser_confidence': 'low', 'beamforming': 'MVDR'},
'rain': {'mic_gain': 'high', 'vad_threshold': 'high', 'ser_confidence': 'low', 'filter': 'highpass'},
'noisy_cabin': {'mic_gain': 'high', 'vad_threshold': 'high', 'ser_confidence': 'low', 'beamforming': 'GSC'}
}
return adjustments.get(env, {})
|