A Parameter Study on the Ray Space Transform Method and its Performance Compared to the Spatial Decomposition Method
Authors
Jensen, Simon Boelt ; Chavez Morales, Gustavo Esteban
Term
4. term
Education
Publication year
2017
Submitted on
2017-06-08
Pages
102
Abstract
Dette speciale undersøger en ny metode til at analysere og genskabe, hvordan et rum lyder. Den velkendte Spatial Decomposition Method (SDM) bruges i dag til blandt andet visualisering af rummets impulsrespons (hvordan lydrefleksioner udfolder sig over tid) og auralisering (realistiske lyttesimuleringer). Specialet fokuserer på Ray-Space Transform Method (RSTM), et nyere rammeværk, hvor flere egenskaber endnu ikke er grundigt afklaret. Målet er at beskrive RSTM og dens centrale parametre, vurdere fordele og ulemper og sammenligne den med SDM inden for lydkildeestimering (at finde, hvor lyde kommer fra i rummet). Specialet identificerer de vigtigste RSTM-parametre og analyserer, hvordan de påvirker estimeringen af lydkilder. Sammenligningen af RSTM og SDM sker ud fra parametre, som metoderne har til fælles. Resultaterne viser, at metoderne ofte præsterer ens, om end der er enkelte undtagelser. For at bekræfte simuleringsresultaterne udføres der efterfølgende tests med virkelige målinger af RSTM: i et ikke-anekkoisk miljø (et almindeligt rum med efterklang) med få mikrofoner, i et anekkoisk kammer (et ekkofrit rum) med de samme indstillinger som i simulationerne og i et standard lytterum. Disse målinger bekræfter, at RSTM opfører sig som forudsagt af simulationerne.
This thesis examines a new way to analyze and recreate how a room sounds. The well-known Spatial Decomposition Method (SDM) is widely used for tasks such as visualizing a room’s impulse response (how sound reflections unfold over time) and auralization (creating realistic listening simulations). The focus here is the Ray-Space Transform Method (RSTM), a newer framework whose properties have not yet been studied in depth. The goal is to describe RSTM and its key parameters, assess advantages and disadvantages, and compare it with SDM for sound source estimation (determining where sounds originate in space). The thesis identifies the most important RSTM parameters and analyzes how they influence source estimation. The comparison between RSTM and SDM is based on parameters the two methods share. Findings show that the methods perform similarly in many respects, with some exceptions. To validate the simulation results, the thesis then tests RSTM on real measurements: in a non-anechoic environment (a typical reflective room) with few microphones, in an anechoic chamber (an echo-free room) using the same settings as the simulations, and in a standard listening room. These measurements confirm that RSTM behaves as the simulations predicted.
[This abstract was generated with the help of AI]
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