Room Acoustic Parameter Extraction from Music Signals

Kendrick, Paul; Cox, Trevor J.; Zhang, Yonggang; Chambers, J.A.; Li, F.F.

doi:10.1109/icassp.2006.1661397

Cited by 11 publications

(5 citation statements)

References 8 publications

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“…To investigate estimation using the proposed method, signals y 1 (f ) and y 2 (f ) as in Eqs. (19) and (20), respectively, were generated in a computer simulation using the measured RTFs and calibration signals generated using the filters presented in this section. Noise was generated using a zero-mean Gaussian distribution and added to the output signals to model measurement noise.…”

Section: B Methodsmentioning

confidence: 99%

“…Lately, methods for RTF estimation and room parameter estimation that are based on learning algorithms and neural networks have been proposed. Methods for estimating acoustical parameters such as early decay time (EDT) and reverberation time (RT) using neural networks and have been proposed in [18], [19]. In [20], Gaussian processes regression is applied to find regularizers for obtaining RTF estimates using a regularized least square approach.…”

Section: Introductionmentioning

confidence: 99%

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Perceptually-Transparent Online Estimation of Two-Channel Room Transfer Function for Sound Calibration

Morgenstern

Rafaely

2020

IEEE/ACM Trans. Audio Speech Lang. Process.

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Sound calibration is employed in many commercial audio systems for improving sound quality. This process includes the estimation of the room transfer function (RTF) between each loudspeaker and a microphone located at the listeners' position. Current methods for RTF estimation employ calibration signals, such as noise or tones, in a dedicated process applied to each loudspeaker separately. Such an estimation disrupts normal playback, is time consuming, and requires user intervention. A perceptuallytransparent online RTF estimation method for a two-channel system, which employs calibration signals generated using the original audio signals and complementary filters, is proposed in this article. These calibration signals are uncorrelated across the two channels, which facilitates the online estimation of both channels using a single microphone. Estimation performance is investigated for an experimental system and displays low estimation errors. Finally, a subjective evaluation via a listening test shows that playback of calibration signals is perceptually-transparent under some of the conditions investigated.

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Section: B Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Perceptually-Transparent Online Estimation of Two-Channel Room Transfer Function for Sound Calibration

Morgenstern

Rafaely

2020

IEEE/ACM Trans. Audio Speech Lang. Process.

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“…Therefore, the signal to noise ratios are poor between the notes. A note matching filter bank is developed to address this issue [20]. For each octave band, the signal is further separated into 12 narrow frequency bands spaced according to the equal temperament scale.…”

Section: Using Music As Stimulimentioning

confidence: 99%

Towards the Understanding of Acoustics of Auditoria in True in-Use Conditions

2023

Auditorium Acoustics 2011

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“…In particular, new methods identify room acoustic properties based on evolutionary algorithms (EA) [34]. Focused on the problem of learning from real acoustics, Cox et al [35] developed a new method employing machine learning techniques and a modified low frequency envelop spectrum estimator, to estimate important room acoustic parameters including Reverberation Time (RT) and Early Decay Time (EDT) from received music signals. What is known as the machine audition field [36] therefore presents a promising method that can establish and enhance classical methods of acoustics.…”

Section: Artificial Intelligence and Acoustic Virtual Realitymentioning

confidence: 99%

Virtual Reality for Urban Sound Design: A Tool for Architects and Urban Planners

Llorca¹

2018

Artificial Intelligence - Emerging Trends and Applications

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Urban sound is one of the main concerns of architects and urban planners in contemporary cities: how to control it, what to do about noise pollution, where silent areas should be situated, or which urban decisions must be made. These questions, among others, are based on spatial sound. Virtual reality is a powerful technology that can serve as a design tool to find some answers to these questions. Due to its power to generate realistic images of the environments that are studied, it is easy to see that virtual reality could contribute to the visualization and auralization of spaces before their construction. This task is one of architects' responsibilities, and such a tool could be very useful to them. This chapter highlights the principles and some applications of virtual reality in urban sound design.

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Room Acoustic Parameter Extraction from Music Signals

Cited by 11 publications

References 8 publications

Perceptually-Transparent Online Estimation of Two-Channel Room Transfer Function for Sound Calibration

Perceptually-Transparent Online Estimation of Two-Channel Room Transfer Function for Sound Calibration

Towards the Understanding of Acoustics of Auditoria in True in-Use Conditions

Virtual Reality for Urban Sound Design: A Tool for Architects and Urban Planners

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