A Method of the Component Selection for the Tempogram Selector in Tempo Estimation
نویسندگان
چکیده
In the study, we propose a method to select components from datasets to form two kinds of categorizes {reqProcessing, noProcessing} for tempogram selector, which is built from a classifier. The research utilizes the low pass filtering (LPF) as the processing, so there are two tempogram with LPF or without LPF. The trained classifier is used to select the best out of the tempograms, which represents the results 2 tempi and strength of tempo estimation. The submission is 1 st place of at-least-onecorrect index and 2 nd place of P-score index in MIREX 2013 audio tempo estimation contest. Index Terms – Tempo Estimation, Tempogram Selector, Component Selection
منابع مشابه
A Tempogram-based Probabilistic Dynamic Model of Beat Tracking for Audio Music
Automatic beat tracking and tempo estimation are challenging tasks, especially for audio music with timevarying tempo. This paper proposes tempogram-based probabilistic dynamic model to deal with beat tracking with time-varying tempo. In particular, the tempogram is the base to obtain correct beat positions. The probabilistic model to estimate the beat positions include tempogram strength model...
متن کاملA Rule-based Approach with Meter Estimation to Tempo Estimation for Audio Music
For audio music with time-varying meters, tempo estimation is a challenging task. This paper proposes several new low-level features of tempogram to determine pulse the classification of duple/triple meters, which can guide the determination of the overall tempo. After the judgment of meters, then we apply k-means clustering on tempo curve to perform tempo estimation. Index Terms – Tempo Estima...
متن کاملA Local Maximum Peak Picking Approach to Tempo Candidates for Tempo Estiamation
For the peak picking of tempo candidates, applying kmeans clustering on tempo curve is straightforward and leading to good result. But the tempo candidates obtained from tempo curve are limited and lose a lot of information for possible tempi. The study proposes the local maximum peak picking method to increase the number and information of possible tempo candidates. Therefore, the accuracy of ...
متن کاملA Two-Fold Dynamic Programming Approach to Beat Tracking for Audio Music with Time-Varying Tempo
Automatic beat tracking and tempo estimation are challenging tasks, especially for audio music with timevarying tempo. This paper proposes a two-fold dynamic programming (DP) approach to deal with beat tracking with time-varying tempo. In particular, the first DP computes the tempo curve from the tempogram. The second DP identifies the optimum beat positions from the novelty and tempo curves. E...
متن کاملA Statistic Learning Approach to Tempo Estimation for Audio Music
Automatic beat tracking and tempo estimation are challenging tasks, especially for audio music with nonbinary tempo or weak percussion. This paper proposes a Kmeans clustering approach to handle tempo estimation with one-third/triple tempo or weak percussion. In particular, the first stage is to compute the tempo curve from the tempogram by DP(Dynamic Programming). Then use Kmean clustering to ...
متن کامل