Signal selection for the room acoustics measurement

Mateljan, Ivo

doi:10.1109/aspaa.1999.810884

Cited by 10 publications

(8 citation statements)

References 4 publications

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“…Findings have offered conflicting results as to the performance of individual HRTFs compared to non-individual measurements. Some find clear benefits [12][13][14] whilst others show little improvement [15]. Results often depend on the inclusion of features such as head-tracking and the type of stimuli used.…”

Section: Spatial Audio Quality Assessmentmentioning

confidence: 99%

“…Noise bursts and other broadband signals are common stimuli used throughout listening tests; however, such unfamiliar and unnatural audio is inappropriate for this type of study. A common alternative is to use speech [13,15,62]. Whilst this is a more ecological than noise, it is relatively band limited and lacks low frequencies especially.…”

Section: Listening Test: Hrtf Preferencementioning

confidence: 99%

“…However, it is unclear as to whether this could benefit a listener [7,8]. Previous studies focus extensively on the impact individual measurements have on source localisation [9][10][11][12][13][14][15] but fail to properly consider alternative perceptual implications.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Perceptual Evaluation of Individual and Non-Individual HRTFs: A Case Study of the SADIE II Database

et al. 2018

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As binaural audio continues to permeate immersive technologies, it is vital to develop a detailed understanding of the perceptual relevance of HRTFs. Previous research has explored the benefit of individual HRTFs with respect to localisation. However, localisation is only one metric with which it is possible to rate spatial audio. This paper evaluates the perceived timbral and spatial characteristics of both individual and non-individual HRTFs and compares the results to overall preference. To that end, the measurement and evaluation of a high-resolution multi-environment binaural Impulse Response database is presented for 20 subjects, including the KU100 and KEMAR binaural mannequins. Post-processing techniques, including low frequency compensation and diffuse field equalisation are discussed in relation to the 8802 unique HRTFs measured for each mannequin and 2818/2114 HRTFs measured for each human. Listening test results indicate that particular HRTF sets are preferred more generally by subjects over their own individual measurements.

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Section: Spatial Audio Quality Assessmentmentioning

confidence: 99%

Section: Listening Test: Hrtf Preferencementioning

confidence: 99%

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A Perceptual Evaluation of Individual and Non-Individual HRTFs: A Case Study of the SADIE II Database

et al. 2018

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“…Various techniques for measuring RIR have been studied [7] [8] [9]. The three most popular excitation signals for RIR measurement are: a Maximum Length Sequence (MLS), an impulse, and a chirp signal.…”

Section: Ir Measurement and Analysismentioning

confidence: 99%

Spatial Sound Rendering Using Measured Room Impulse Responses

Driessen

Tzanetakis

et al. 2006

2006 IEEE International Symposium on Signal Processing and Information Technology

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Spatial sound rendering has many applications such as music production, movies, electronic gaming and teleconferencing. Each of the applications may have different quality and complexity requirements. This paper presents a new spatial sound rendering framework that aims at producing realistic multichannel audio while being flexible and scalable so that is can be extended and adopted by various applications. The proposed framework uses multi-channel measured room impulse response (MMRIR) as the basis for building a room acoustic model which is used to synthesize multi-channel audio. The proposed framework has been evaluated by informal listening tests.

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“…Various techniques for measuring RIR have been studied [7,8,12]. The three most popular excitation signals for RIR measurement are: a Maximum Length Sequence (MLS), an impulse, and a chirp signal.…”

Section: Location-based Convolution Reverberationmentioning

confidence: 99%

Placement of Sound Sources in the Stereo Field Using Measured Room Impulse Responses

Haines

Vernon

Dannenberg

et al.

Lecture Notes in Computer Science

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Abstract. Reverberation can be simulated by convolving dry instrument signals with physically measured impulse response data. Such reverberation effects have recently become commonplace; however, current techniques apply a single effect to an entire ensemble, and then separate individual instruments in the stereo field via panning. By measuring impulse response data from each desired instrument location, it is possible to place instruments in the stereo field using their unique early reflection and reverberation patterns without panning. A pilot study compares the perceived quality of dry signals convolved to stereo center, convolved to stereo center and panned to desired placement, and convolved with measured impulse responses to simulate placement. The results of a single blind study show a preference for location-based (as opposed to panning-based) reverberation effects.

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Signal selection for the room acoustics measurement

Cited by 10 publications

References 4 publications

A Perceptual Evaluation of Individual and Non-Individual HRTFs: A Case Study of the SADIE II Database

A Perceptual Evaluation of Individual and Non-Individual HRTFs: A Case Study of the SADIE II Database

Spatial Sound Rendering Using Measured Room Impulse Responses

Placement of Sound Sources in the Stereo Field Using Measured Room Impulse Responses

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