基于LSTM网络和注意力机制的汽车车内声品质评价模型  

Evaluation model of car interior sound quality based on long short-term memory network and attention mechanism

作　　者：朱峰 唐昭 邓云云 张晴宇 张学泽 李双 ZHU Feng;TANG Zhao;DENG Yunyun;ZHANG Qingyu;ZHANG Xueze;LI Shuang(School of Rail Transportation,Soochow University,Suzhou,Jiangsu 215131,China;School of Marine Engineering,Northwestern Polytechnical University,Xi′an,Shaanxi 710072,China)

机构地区：[1]苏州大学轨道交通学院 [2]西北工业大学航海学院

出　　处：《江苏大学学报(自然科学版)》2025年第2期125-131,共7页Journal of Jiangsu University:Natural Science Edition

基　　金：国家自然科学基金资助项目(12274350)。

摘　　要：为了进一步提高声品质评价模型的稳定性和评价准确率,提出一种基于长短期记忆(long short-term memory,LSTM)网络和注意力机制的汽车车内声品质评价模型(ALSTM).首先采集了不同品牌汽车在不同工况下驾驶员右耳处的稳态噪声样本,并以烦恼度为评价指标开展噪声样本的主观评价试验,建立了车内声品质评价数据集.在此数据集的基础上,将噪声样本的梅尔倒谱系数(Mel-scale frequency cepstral coefficient,MFCC)作为特征输入,构建了基于LSTM网络的声品质评价模型,同时引入注意力机制对模型进行优化.结果表明:提出的声品质评价模型能够有效地对车内噪声进行评价,在测试集上的准确率高达97.07%;与其他方法相比,ALSTM模型的稳定性、收敛速度和分类准确率均有所提高.To improve the stability and accuracy of the sound quality evaluation model,the vehicle interior sound quality evaluation model(ALSTM)based on long short-term memory(LSTM)network and attention mechanism was proposed.The steady noise samples of different brands of vehicles at the right ear of drivers under different working conditions were collected,and the subjective evaluation test of noise samples was carried out with annoyance as evaluation index to establish the evaluation data set of interior sound quality.On the basis of the data set,the sound quality evaluation model based on LSTM network was constructed with Mel-scale frequency cepstral coefficient(MFCC)of noise samples as feature input,and the attention mechanism was introduced to optimize the model.The experimental results show that the proposed evaluation model of sound quality can effectively evaluate the vehicle interior noise,and the accuracy in the test set is as high as 97.07%.Compared with other methods,the stability,convergence speed and classification accuracy of the ALSTM model are improved.

关 键 词：声品质评价模型 长短期记忆网络 噪声 主观评价试验 注意力机制 

分 类 号：U491.91[交通运输工程—交通运输规划与管理]