QMF대역 가변길이필터를 이용한 바이노럴 신호 생성방법
서정일, 이용주, 강경옥, 백승권, 김진웅, 장대영, 이태규, 오현오, 박영철, 윤대희
- 3062535 (2019.07.03)
13PR3700, 무안경 다시점 3D지원 UHDTV 방송 기술 개발,
- The present invention relates to a method and an apparatus for processing a signal, which are used to effectively reproduce an audio signal, and more particularly, to a method and an apparatus for processing an audio signal, which are used for implementing a filtering for input audio signals with a low computational complexity.To this end, provided are a method for processing an audio signal including: receiving an input audio signal; receiving truncated subband filter coefficients for filtering each subband signal of the input audio signal, the truncated subband filter coefficients being at least a portion of subband filter coefficients obtained from binaural room impulse response (BRIR) filter coefficients for binaural filtering of the input audio signal, the lengths of the truncated subband filter coefficients being determined based on filter order information obtained by at least partially using characteristic information extracted from the corresponding subband filter coefficients, and the truncated subband filter coefficients being constituted by at least one FFT filter coefficient in which fast Fourier transform (FFT) by a predetermined block size in the corresponding subband has been performed; performing the fast Fourier transform of the subband signal based on a predetermined subframe size in the corresponding subband; generating a filtered subframe by multiplying the fast Fourier transformed subframe and the FFT filter coefficients; inverse fast Fourier transforming the filtered subframe; and generating a filtered subband signal by overlap-adding at least one subframe which is inverse fast Fourier transformed and an apparatus for processing an audio signal using the same.
- KSP 제안 키워드
- Audio signal, Block size, Characteristic information, Computational complexity, FFT filter, Fast Fourier, Fast Fourier transform, Fast fourier transform (fft), Filter coefficients, Filter order, Low Computational Complexity, Room Impulse Response(RIR), fourier transform, impulse response, order information, signal based