Combining multi-probe histogram and order-statistics based LSH for scalable audio content retrieval
Proceedings of the international conference on Multimedia
Pattern induction and matching in music signals
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
On the Relative Importance of Individual Components of Chord Recognition Systems
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
| Hi-index | 0.00 |
Chroma-based audio features are a well-established tool for analyzing and comparing music data. By identifying spectral components that differ by a musical octave, chroma features show a high degree of invariance to variations in timbre. In this paper, we describe a novel procedure for making chroma features even more robust to changes in timbre and instrumentation while keeping their discriminative power. Our idea is based on the generally accepted observation that the lower mel-frequency cepstral coefficients (MFCCs) are closely related to timbre. Now, instead of keeping the lower coefficients, we will discard them and only keep the upper coefficients. Furthermore, using a pitch scale instead of a mel scale allows us to project the remaining coefficients onto the twelve chroma bins. Our systematic experiments show that the resulting chroma features have indeed gained a significant boost towards timbre invariance.