Title :
A computationally efficient algorithm for calculating loudness patterns of narrowband speech
Author :
Hauenstein, Markus
Author_Institution :
Inst. for Network & Syst. Theory, Kiel Univ., Germany
Abstract :
Loudness patterns are closer to the human perception of sound waves than spectrograms. This paper describes how loudness patterns can be efficiently calculated with an allpass-transformed polyphase-filterbank based on a mixed radix FFT and three subsequent non-linear stages that model masking effects in the frequency and time domain as well as loudness compression
Keywords :
acoustic signal processing; all-pass filters; band-pass filters; fast Fourier transforms; filtering theory; frequency-domain analysis; loudness; speech processing; time-domain analysis; allpass transformed polyphase filterbank; computationally efficient algorithm; frequency domain; human perception; loudness compression; loudness patterns; mixed radix FFT; model masking effects; narrowband speech; nonlinear stages; sound waves; time domain; Discrete Fourier transforms; Ear; Filter bank; Frequency; Humans; IIR filters; Narrowband; Prototypes; Psychoacoustic models; Speech;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.596187
