CAJ | 학술논문

语音中存在加性噪声降低了MFCC参数的鲁棒性,使得说话人确认系统性能下降。多窗谱MFCC引入了多窗谱估计技术在增强 MFCC 特征的噪声鲁棒性上取得了一定效果,但改善的程度有限。为了使 MFCC 参数对噪声具有更强的鲁棒性,提出了一种改进的多窗谱 MFCC 提取算法。改进算法在多窗谱 MFCC 的基础上引入谱减思想,谱减法(Spectral Subtraction, SS)能够增强语音并降低噪音的干扰。因此,采用了Multitaper+SS组合的改进算法融合了两者的优势,具备了更好的性能。仿真结果表明,当测试语音中含有加性噪声时,与多窗谱 MFCC提取算法相比,采用改进的多窗谱 MFCC 的说话人确认系统性能在等错误率 EER 和最小检测代价函数值minDCF两项评测指标上都取得了更好的结果。
어음중존재가성조성강저료MFCC삼수적로봉성,사득설화인학인계통성능하강。다창보MFCC인입료다창보고계기술재증강 MFCC 특정적조성로봉성상취득료일정효과,단개선적정도유한。위료사 MFCC 삼수대조성구유경강적로봉성,제출료일충개진적다창보 MFCC 제취산법。개진산법재다창보 MFCC 적기출상인입보감사상,보감법(Spectral Subtraction, SS)능구증강어음병강저조음적간우。인차,채용료Multitaper+SS조합적개진산법융합료량자적우세,구비료경호적성능。방진결과표명,당측시어음중함유가성조성시,여다창보 MFCC제취산법상비,채용개진적다창보 MFCC 적설화인학인계통성능재등착오솔 EER 화최소검측대개함수치minDCF량항평측지표상도취득료경호적결과。
Speech exists additive noise which is the main reason for reduced MFCC robustness. Then reduced MFCC robustness makes the speaker verification system identification rate decreased. To solve the problem, multitaper technology is introduced, which is a little effective in improving the noise robustness of MFCC. To get a better result, we propose a improved multitaper MFCC extraction algorithm which combines multitaper and spectral subtraction methods. Multitaper technology improve the robustness of MFCC, then spectral subtraction method enhance the speech and reduce the effect of noise. Simulation results show that when the test speech contains the additive noise, new algorithm could achieve better result in EER and minDCF which are the evaluation index of speaker verification system.