Time-dependent genre recognition by means of instantaneous frequency spectrum based on Hilbert-Huang transform

Endrjukaite, Tatiana; Kosugi, Naoko

doi:10.1145/2428736.2428750

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…These repetitions are processed by means of empirical mode decomposition [4] and splits into a number of intrinsic functions. These functions are used to get an instantaneous frequency spectrum [5].…”

Section: Approachmentioning

confidence: 99%

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Music Similarity Analysis through Repetitions and Instantaneous Frequency Spectrum

Endrjukaite¹,

Kiyoki²

2013

IJSPS

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This paper presents a new approach for tunes similarity calculation based on repetitions. Information about repetitions in tunes is important since repetitions make very significant impression to listener. We are providing a way to describe tunes in descriptors which contain frequency information about repetitions of tunes. Frequency information is retrieved by means of a relatively new signal processing approach called instantaneous frequency spectrum (IFS). Further tunes comparison takes this repetitions frequencies information from one tune descriptor and compares to second tune's descriptor. As a result we obtain the similarity between compared tunes. We show that proposed approach gives meaningful information about music pieces similarity and it can successfully be used in music signal processing tasks. 

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Section: Approachmentioning

confidence: 99%

“…The imaginary signal (t) is orthogonal to original signal X(t). This feature allows us to develop from (t) and X(t) a complex analytical signal H(t) (5). H(t) is described as a vector on the complex plane where X(t) and…”

Section: Hilbert Transformmentioning

confidence: 99%

Music Similarity Analysis through Repetitions and Instantaneous Frequency Spectrum

Endrjukaite¹,

Kiyoki²

2013

IJSPS

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“…Our approach starts with instantaneous frequencies calculation for tune frames using Instantaneous Frequency Spectrum (IFS) [6]. Frequency information from all frames is then generalized among frames to get overall tune typical frequencies description.…”

Section: Introductionmentioning

confidence: 99%

Music Homogeneity Analysis through Instantaneous Frequencies

Endrjukaite

Kiyoki

2013

Proceedings of International Conference on Advances in Mobile Computing &Amp; Multimedia - MoMM '13

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This paper describes a new method of music data retrieval. Proposed method provides a way to determine tune's internal homogeneity, which means detecting which parts of the tune sound typical to whole tune and which do not. Such information can be used for various purposes such as tune thumbnail creation or tune cleaning from untypical parts for further automatic analysis. In our method, we slice music piece into frames and compare these frames with the whole tune by means of Instantaneous Frequency Spectrum, which gives a comprehensive approximation of frames homogeneity. This approximation is then iteratively refined. The final result shows homogeneity of short frames to the whole tune. By setting different thresholds we can get desired level of accuracy. However, proposed automatic threshold shows good results throughout all experiments. Visual presentation of tune homogeneity gives a good description of a piece's internal structure.

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Power Data Cleaning in Micro Grid

Jiang

2019

2019 Chinese Control Conference (CCC)

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Time-dependent genre recognition by means of instantaneous frequency spectrum based on Hilbert-Huang transform

Cited by 3 publications

References 13 publications

Music Similarity Analysis through Repetitions and Instantaneous Frequency Spectrum

Music Similarity Analysis through Repetitions and Instantaneous Frequency Spectrum

Music Homogeneity Analysis through Instantaneous Frequencies

Power Data Cleaning in Micro Grid

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