Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Перетворення передавальної функції голови (HRTF)× | Мел-частотні кепстральні коефіцієнти (MFCC)× | |
|---|---|---|
| Галузь | Прикладна фізика | Прикладна фізика |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1989 | 1980 |
| Автор методу≠ | Fredrik Wightman, Doris Kistler | Steven Davis, Paul Mermelstein |
| Тип≠ | Frequency-dependent spatial filtering function | Audio feature extraction algorithm |
| Основоположне джерело≠ | 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 ↗ | 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 ↗ |
| Інші назви | HRTF, spatial hearing, binaural filter | mel-cepstral features, MFCC features, mel-frequency features |
| Пов'язані | 3 | 3 |
| Підсумок≠ | 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. | 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. |
| ScholarGateНабір даних ↗ |
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