Acoustic scene analysis using estimated impulse responses

Larsen, Erik; Schmitz, Christopher D.; Lansing, Charissa R.; O’Brien, William D.; Wheeler, Bruce C.; Feng, Albert S.

doi:10.1109/acssc.2003.1292009

Cited by 22 publications

(15 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other reason is that the source-to-receiver configuration changes, i.e., the source-to-receiver distance or the directivity (or orientation) of the sound source changes. Larsen et al [27] present a method for estimating the direct-to-reverberant ratio based on partial knowledge of a monaural room impulse response, i.e., timing and relative amplitudes of the direct sound and the few first reflections are known. They assume that this information is first obtained with other preprocessing methods.…”

Section: Previous Workmentioning

confidence: 99%

Binaural Sound Source Distance Learning in Rooms

Vesa¹

2009

IEEE Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

Section: Previous Workmentioning

confidence: 99%

Binaural Sound Source Distance Learning in Rooms

Vesa¹

2009

IEEE Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

“…Reverberation time, which is related to room volume, is calculated from the damping characteristic of the impulse response measured by one microphone in a room [3,4]. Binaural room impulse response can also be used [5][6][7][8][9]. The conventional impulse room response is actively detected, so the measurement is noisy and interferes with our living environments.…”

Section: Introductionmentioning

confidence: 99%

Room Volume Estimation Based on Ambiguity of Short-Term Interaural Phase Differences Using Humanoid Robot Head

Shimoyama

Fukuda

2016

Robotics

View full text Add to dashboard Cite

Abstract:Humans can recognize approximate room size using only binaural audition. However, sound reverberation is not negligible in most environments. The reverberation causes temporal fluctuations in the short-term interaural phase differences (IPDs) of sound pressure. This study proposes a novel method for a binaural humanoid robot head to estimate room volume. The method is based on the statistical properties of the short-term IPDs of sound pressure. The humanoid robot turns its head toward a sound source, recognizes the sound source, and then estimates the ego-centric distance by its stereovision. By interpolating the relations between room volume, average standard deviation, and ego-centric distance experimentally obtained for various rooms in a prepared database, the room volume was estimated by the binaural audition of the robot from the average standard deviation of the short-term IPDs at the estimated distance.

show abstract

“…As the focus in this paper is the estimation of the decay rate ρ, the noiseless CRB, i.e., (8), is here used for benchmarking the estimation performance of all considered estimators.…”

Section: The Instantaneous Powermentioning

confidence: 99%

Decay Rate Estimators and Their Performance for Blind Reverberation Time Estimation

Schüldt

Händel

2014

IEEE/ACM Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

Several approaches for blind estimation of reverberation time have been presented in the literature and decay rate estimation is an integral part of many, if not all, of such approaches. This paper provides both an analytical and experimental comparison, in terms of the bias and variance of three common decay rate estimators; a straight-forward linear regression approach as well as two maximum-likelihood based methods. Situations with and without interfering additive noise are considered. It is shown that the linear regression based approach is unbiased if no smoothing is applied, and that the estimation variance in the absence of noise is constantly about twice that of the maximum-likelihood based methods. It is shown that the methods that do not take possible noise into account suffer from similar estimation bias in the presence of noise. Further, a hybrid method, combining the noise robustness and low computational complexity advantages of the two different maximum-likelihood based methods, is presented.

show abstract

Acoustic scene analysis using estimated impulse responses

Cited by 22 publications

References 8 publications

Binaural Sound Source Distance Learning in Rooms

Binaural Sound Source Distance Learning in Rooms

Room Volume Estimation Based on Ambiguity of Short-Term Interaural Phase Differences Using Humanoid Robot Head

Decay Rate Estimators and Their Performance for Blind Reverberation Time Estimation

Contact Info

Product

Resources

About