Drum Event Detection by Noise Subspace Projection and Classification

نویسنده

  • Olivier Gillet
چکیده

Pre-processing of stereo signals A pair of gains is selected for each channel, in order to maximize an impulsiveness criterion on the envelope of the remixed monophonic signal. The impulsiveness measure I is computed as follows: Firstly, an envelope signal s′(t) is obtained by half-wave rectifying, decimating, low-pass filtering, and differentiating s(t). Then a contrast factor on this envelope is computed. This contrast factor is defined as the ratio between the arithmetic and geometric mean of the envelope signal:

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Drum Track Transcription of Polyphonic Music Using Noise Subspace Projection

This paper presents a novel drum transcription system for polyphonic music. The use of a band-wise harmonic/noise decomposition allows the suppression of the deterministic part of the signal, which is mainly contributed by nonrhythmic instruments. The transcription is then performed on the residual noise signal, which contains most of the rhythmic information. This signal is segmented, and the ...

متن کامل

A noise subspace projection approach to target signature detection and extraction in an unknown background for hyperspectral images

A noise subspace projection (NSP) approach to extraction and subpixel detection of target signatures in an unknown background is presented. The proposed NSP approach is derived from a recently developed subspace orthogonal projection (OSP) method and can be shown to be approximated by an adaptive filter with the optimal weight given by the Wiener–Hopf equation. As a result, the operator resulti...

متن کامل

A comparative study for orthogonal subspace projection and constrained energy minimization

In this letter, we conduct a comparative study and investigate the relationship between two well-known techniques in hyperspectral image detection and classification: orthogonal subspace projection (OSP) and constrained energy minimization (CEM). It is shown that they are closely related and essentially equivalent provided that the noise is white with large SNR. Based on this relationship, the ...

متن کامل

Least squares subspace projection approach to mixed pixel classification for hyperspectral images

An orthogonal subspace projection (OSP) method using linear mixture modeling was recently explored in hyperspectral image classification and has shown promise in signature detection, discrimination, and classification. In this paper, the OSP is revisited and extended by three unconstrained least squares subspace projection approaches, called signature space OSP, target signature space OSP, and ...

متن کامل

Image Classification via Sparse Representation and Subspace Alignment

Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005