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MFCC(梅尔频率倒谱系数)×头部相关传递函数×
领域应用物理学应用物理学
方法族Process / pipelineProcess / pipeline
起源年份19801989
提出者Steven Davis, Paul MermelsteinFredrik Wightman, Doris Kistler
类型Audio feature extraction algorithmFrequency-dependent spatial filtering function
开创性文献Davis, S., & Mermelstein, P. (1980). Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Transactions on Acoustics, Speech, and Signal Processing, 28(4), 357-366. DOI ↗Wightman, F. L., & Kistler, D. J. (1989). Headphone simulation of free-field listening. I: Stimulus synthesis. The Journal of the Acoustical Society of America, 85(2), 858-867. DOI ↗
别名mel-cepstral features, MFCC features, mel-frequency featuresHRTF, spatial hearing, binaural filter
相关33
摘要Mel-Frequency Cepstral Coefficients (MFCCs) are a compact representation of audio features that mimic human auditory perception. Introduced by Davis and Mermelstein in 1980, MFCCs are the de facto feature extraction method for speech recognition and environmental sound analysis. They compress the frequency information of audio signals into a small set of coefficients that capture phonetic content while discarding irrelevant details.The Head-Related Transfer Function (HRTF) describes how the human head, ears, and torso filter sound from different directions. HRTFs capture the acoustical changes that occur as sound travels around the head to reach each ear, enabling the perception of sound location in 3D space. Measured or modeled HRTFs are essential for creating convincing 3D audio through headphones in virtual reality, spatial games, and immersive audio applications.
ScholarGate数据集
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  2. 3 来源
  3. PUBLISHED

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ScholarGate方法对比: MFCC · Head-Related Transfer Function. 于 2026-06-17 检索自 https://scholargate.app/zh/compare