Synthesis of car noise based on a composition of engine noise and friction noise

Ban,; Banno,; Takeda,; Itakura,

doi:10.1109/icassp.2002.1006191

Cited by 6 publications

(2 citation statements)

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“…Analysis/resynthesis techniques exploit the harmonic, stationary nature of engine sounds and rely on their spectrogram as a description of the acoustic event. Manipulating engine harmonics in amplitude and frequency is a flexible way to explore the sound design possibilities within the boundaries of a well-defined space [2,4].…”

Section: Related Workmentioning

confidence: 99%

Physically informed car engine sound synthesis for virtual and augmented environments

Baldan

Lachambre

Monache

et al. 2015

2015 IEEE 2nd VR Workshop on Sonic Interactions for Virtual Environments (SIVE)

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The richness of crossmodal feedback in car driving makes it an engaging,\ud complex, yet “natural” activity. Audition plays an important\ud role, as the engine sound, perceived in the cabin, conveys relevant\ud cues about the vehicle motion. In this paper, we introduce a\ud procedural and physically informed model for synthetic combustion\ud engine sound, as an effective, flexible and computationally efficient\ud alternative to sample-based and analysis/resynthesis approaches.\ud The sound model, currently being developed as Max/MSP external,\ud has been integrated in GeneCars, a driving simulator environment\ud for industrial sound design, and SkAT Studio, a demonstration\ud framework for the rapid creation of audio processing workflows

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Section: Related Workmentioning

confidence: 99%

Physically informed car engine sound synthesis for virtual and augmented environments

Baldan

Lachambre

Monache

et al. 2015

2015 IEEE 2nd VR Workshop on Sonic Interactions for Virtual Environments (SIVE)

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“…An example of an international study is Takeda et al (2011) where driver behavior is modeled empirically along with various other in-vehicle parameters. Studies specializing in in-vehicle noise include Ban et al (2002) where model for vehicle noise is proposed that is a function of engine and road friction noises. This model was used to synthesize vehicle noise where engine noise was modeled using a long term spectral average and the friction noise was modeled as white noise with varying power.…”

Section: Introductionmentioning

confidence: 99%

Car noise verification and applications

Krishnamurthy

Hansen

2013

Int J Speech Technol

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This study presents audio based vehicle-verification as a new area of research. The task involves verifying the claim that an acoustic sample belongs to a vehicle. Audio based vehicle verification has the potential to impact research in the areas of vehicle forensics and in-vehicle speech systems. For this task, a new corpus (UTD-CAR-NOISE) that consists of noise from 20 vehicles under 8 distinct noise environments (∼8 hours of data). Our approach towards vehicle verification hypothesizes that some specific environments are more suited for vehicle verification. Towards this goal, four diverse in-vehicle noise conditions are identified on the basis of their frequency of occurrence. Additionally, four different verification systems are proposed based on their complexity and modeling strategies. Our evaluation shows that A/C on with windows closed condition is the most conducive for vehicle verification (98 %). The proposed systems were evaluated on approximately 100,000 trials, achieving performances in the range of (75-98 %) for different vehicle environments.

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Hardware architecture for an anti-traffic noise system

Dhaou

2015

Microelectronics Journal

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Synthesis of car noise based on a composition of engine noise and friction noise

Cited by 6 publications

References 0 publications

Physically informed car engine sound synthesis for virtual and augmented environments

Physically informed car engine sound synthesis for virtual and augmented environments

Car noise verification and applications

Hardware architecture for an anti-traffic noise system

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