Spatial Sound Design in a Car Cockpit: Challenges and Perspectives

Dupre, Theophile; Denjean, Sébastien; Aramaki, Mitsuko; Kronland‐Martinet, Richard

doi:10.1109/i3da48870.2021.9610910

Cited by 9 publications

(9 citation statements)

References 13 publications

(13 reference statements)

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“…representative of the real environment that we simulate) allowing to test our hypothesis and to favour an "everyday listening" that will allow to generalize the results to a real situation. We previously proposed a methodology [31] adapted from urban soundscape planning [32] to capture, analyze and reproduce real driving scenes. It consists of creating a virtual environment based on 3D audio-visual in-situ recordings of usual driving situations where the sense of presence and involvement in a car is ensured.…”

Section: Methodsmentioning

confidence: 99%

Spatial Integration of Dynamic Auditory Feedback in Electric Vehicle Interior

Dupré¹,

Aramaki²,

Denjean³

et al. 2023

J. Audio Eng. Soc.

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With the development of electric motor vehicles, the domain of automotive sound design addresses new issues, and is now concerned by creating suitable and pleasant soundscapes inside the vehicle. For instance, the absence of predominant engine sound changes the driver perception of the dynamic of his car. Previous studies proposed relevant sonification strategies to augment the interior sound environment by bringing back vehicle dynamics with synthetic auditory cues. Yet, users report a lack of blending with the existing soundscape. In this study, we analyze acoustical and perceptual spatial characteristics of the car soundscape and show that the spatial attributes of sound sources are fundamental to improve the perceptual coherency of the global environment.

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Section: Methodsmentioning

confidence: 99%

Spatial Integration of Dynamic Auditory Feedback in Electric Vehicle Interior

Dupré¹,

Aramaki²,

Denjean³

et al. 2023

J. Audio Eng. Soc.

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“…Early inventions included entirely new categories of musical instruments (Cahill, 1897;Ssergejewitsch, 1928) and the first machines for artificial speech production (Dudley, 1939;Dudley and Tarnoczy, 1950), while the latter half of the 20th century saw a proliferation of research into digital methods for sound synthesis, built on advances in signal processing (Keller, 1994;Smith, 2010) and numerical methods (Bilbao, 2009). Applications of audio synthesis have since come to permeate daily life, from music (Holmes, 2008), through voice assistant technology, to the sound design in films, TV shows, video games, and even the cockpits of cars (Dupre et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A review of differentiable digital signal processing for music and speech synthesis

Hayes,

Shier,

Fazekas

et al. 2024

Front. Signal Process.

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The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their integration into neural networks. This article surveys the literature on differentiable audio signal processing, focusing on its use in music and speech synthesis. We catalogue applications to tasks including music performance rendering, sound matching, and voice transformation, discussing the motivations for and implications of the use of this methodology. This is accompanied by an overview of digital signal processing operations that have been implemented differentiably, which is further supported by a web book containing practical advice on differentiable synthesiser programming (https://intro2ddsp.github.io/). Finally, we highlight open challenges, including optimisation pathologies, robustness to real-world conditions, and design trade-offs, and discuss directions for future research.

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“…In [ 3 ], the HRTFs are used inside the car to obtain an immersive reproduction exploiting binaural techniques, while in [ 4 ], the HRTFs are needed to recreate a virtual environment in order to evaluate the human being’s perception of a sound system. In recent years, studies on spatial sound and auralization systems in the car cockpit have been investigated and implemented, as reported in [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio

Cecchi

Bruschi

Nobili

et al. 2023

Sensors

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The head related transfer functions (HRTFs) represent the acoustic path transfer functions between sound sources in 3D space and the listener’s ear. They are used to create immersive audio scenarios or to subjectively evaluate sound systems according to a human-centric point of view. Cars are nowadays the most popular audio listening environment and the use of HRTFs in automotive audio has recently attracted the attention of researchers. In this context, the paper proposes a measurement method for HRTFs based on perfect or orthogonal periodic sequences. The proposed measurement method ensures robustness towards the nonlinearities that may affect the measurement system. The experimental results considering both an emulated scenario and real measurements in a controlled environment illustrate the effectiveness of the approach and compare the proposed method with other popular approaches.

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Spatial Sound Design in a Car Cockpit: Challenges and Perspectives

Cited by 9 publications

References 13 publications

Spatial Integration of Dynamic Auditory Feedback in Electric Vehicle Interior

Spatial Integration of Dynamic Auditory Feedback in Electric Vehicle Interior

A review of differentiable digital signal processing for music and speech synthesis

HRTFs Measurement Based on Periodic Sequences Robust towards Nonlinearities in Automotive Audio

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