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Improved Audio System Playback by Automatic Head Position Detection and System Adjustment

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The current time-honored automotive sound system adjustment approach is to set the tuning equalization (EQ) of the audio system through objective and subjective evaluation means, to achieve a single average setting for the range of listener positions. This is shown to result in degraded audio playback for those whose seating position puts their ears on the fringes of the normally measured space (5th through 95th percentile, mixed gender adults). Deviation over the space is especially notable in the case of nearfield speakers, like headrest and overhead speakers. Methods to remedy this sub-optimal outcome are investigated and an automatic means to make suitable adjustments resulting from this study is experimentally evaluated.

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A Study on Speech Intelligibility Performance of Automotive Voice Microphones

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Automotive voice microphones are commonly used in vehicle audio systems for hands-free communication. One important performance measure of such a voice microphone is the speech intelligibility (SI). Unfortunately, this measure cannot be directly derived simply using the microphone datasheet. Based on both a subjective method (ANSI S3.2-2009) and an objective method (ANSI S3.5-1997), this paper investigates the SI score judged by human listeners versus the speech intelligibility index (SII) score calculated from an established algorithm. Three typical automotive voice microphone designs differing in directivity and frequency response (FR) characteristics are tested. It is shown that no intelligibility differences are noticeable among three microphones at low background noise levels. With medium to high level and non-wind induced noises, the unidirectional or omnidirectional microphone with a rising FR exhibits certain advantage over the omnidirectional microphone with a flat FR. With wind turbulence inducted noises which are usually at high levels, the unidirectional microphone sees the greatest performance degradation. In Addition, an approximate linear correlation is demonstrated between the subjective SI and the objective SII scores for automotive applications, which enables the use of the simple SII method to predict the SI score without physically conducting the laborious SI test. This finding can guide engineers to choose cost-effective microphone technology solutions to meet specific application requirements in early design stages.

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An Acoustic Front-End to Speech Recognition in a Vehicle

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The acceptance of speech as a primary user-interface in vehicles depends on how well speech recognition can overcome challenging conditions including high levels of noise, echo and competing speech, in which accuracy is known to degrade. To mitigate this, an acoustic front-end using the QNX Acoustics for Voice software library preprocesses multichannel microphone data from the vehicle and provides a cleaned signal to the recognizer. We demonstrate how three components of the front-end: beamforming, acoustic echo cancellation and zone interference cancellation, lead to significant improvements in word error rates.

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Pop and Burble Triggered Sounds Development Process

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Automotive customers have become accustomed to triggered sounds in vehicles for alerts and communications. The field of triggered sounds is expanding to include customer exciting sounds. These triggered sounds are broadcasts from the infotainment system and are both triggered and controlled via the vehicle CAN messages. This level of complex triggering and control allows Original Equipment Manufacturers (OEM) to craft excitement generating triggered sounds while providing audible feedback which corresponds to vehicle operation. Pop and Burble (P&B) Enhancement is one example of a triggered sound. It generates excitement and provides a perception of powerfulness to the vehicle. This paper will discuss the benefits and potential application of electronically enhancing P&B, the process to develop the sounds, control logic and a software solution set to create, implement, and tune P&B enhancement.

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Virtual pass-by noise sound synthesis from transfer path analysis data

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This work describes the sound synthesis of moving sources for the evaluation of pass-by noise scenarios. The proposed approach is based on transfer path analysis (TPA) from vehicle components to a semi-circular microphone array, enabling a decomposition in terms of spherical harmonics. The source signals are estimated by setting microphone indicators around source locations (engine compartment, tires) and by solving TPA inverse problems. A key feature lies in the simultaneous measurement of the pressure data at indicator and semi-circular array microphones. The spherical harmonic domain allows the sources to be moved smoothly in space, enabling the simulation of any trajectory including the Doppler effect. Finally, the propagated source signal is decoded using an inverse spherical transform to synthesize the binaural output. This approach renders a dynamic spatial audio environment that can be synchronized with a visualization tool. To illustrate the technique, preliminary results of an electric vehicle measured indoors are shown.

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Automated Control of Reverberation Level Using a Perceptional Model

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This paper describes a method for estimating the perceived intensity of reverberation in audio signals and control-ling the level of an arti?cial reverberation signal such that an arti?cially reverberated output signal has similar reverberation properties as the corresponding input signal. The estimation uses a linear regression model with sub-band Inter-channel Coherence and Spectral Flatness Measure as input features which is trained with listening test data. For the adaptation to the arti?cial reverberation control signals are computed based on temporal modulation properties and correlation between the input channel signals and applied to compute an equivalent reverberation level. The resulting quantity is post-processed using signal-adaptive integration. For the evaluation the proposed method has been applied to control the reverb send gain of arti?cial reverberation in a car.

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AI in Automotive Audio: Approaching Dynamic Driving Sound Design

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While most electric vehicles today provide an internal driving sound, these sounds are the result of a static approach, in terms of being reproducible and only based on a limited number of vehicle-related input parameters. Notwithstanding the possibility of tuning these sound generators by driving parameters (e.g., speed and load), static sound design has the disadvantage of not being adaptable to distinct contexts, environments and personal preferences. In this paper, we present a new approach that combines machine learning and adaptive sound generators to match the detected situational driving style. The proposed solution contains two main components:(a) Morphable sound generators with hyperparameters based on the knowledge of sound design experts; (b) A deep learning model capable of predicting personal driving styles. The AI detected driving style is applied to control a variety of seamlessly morphable sound algorithms, thus providing the driver with a sonic experience dynamically adapted to her/his traf?c environment or driving style. The driver is furthermore enabled to intentionally determine the sonic behaviour of the vehicle without the use of any additional controls. A prototype of this system has been implemented and tested with several participants, providing resources for quantitative analysis of multi-modal feature selection and respective model ?tting. This was followed by interviews with participants regarding the qualitative (sound design) results of this ?rst use case.

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Electromagnetic Interference in Electric Vehicles and its Impact on AM Audio

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Electromagnetic interference (EMI) generated by electric vehicles (EVs) can compromise the reception quality of AM signals. This paper explains some effects of EMI on AM reception and audio quality in EVs, and the importance of EMI mitigation, with the help of field test data using EVs. The reception performance of analog AM and all-digital AM In-Band On-Channel (IBOC) digital radio1 signals is then briefly compared based on results from analysis and field measurements. Finally, field test results for internal combustion engine (ICE) vehicles and EVs demonstrate the robustness of all-digital AM signals and the superior AM audio experience provided by AM IBOC digital radio technology.

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Enhanced Perceptual Rub & Buzz Measurement for Testing Automotive Speakers

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Loudspeaker Rub & Buzz faults are a problem for automotive manufacturers as they sound harsh and immediately give the perception of poor quality. There are two places such faults can occur - during speaker manufacturing and installation of the speaker in the car. A buzzing loudspeaker in a car is disappointing to a customer and is costly to replace. It is also challenging for a service center to determine exactly where the buzzing is coming from and whether it is caused by a faulty loudspeaker or bad installation. Perceptual distortion measurements are often considered the holy grail of end-of-line testing because rejecting speakers with only audible faults increases yield. Although such measurements have been around since 2011, production line adoption has been slow because until now, sensitivity to background noise has made limit-setting challenging. In this paper, a new algorithm is introduced that uses advanced technology to reduce the impact of background noise on the measurement and offer more repeatable results. This facilitates limit setting on the production line and makes it a truly viable production line metric for increasing yield. This same metric may also be used for end-of-line automotive quality control tests. Results from various algorithms will be shown, and their correlation to subjective and other non-perceptual distortion metrics explained.

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Nonlinear Speaker Control in Automotive Sound Applications

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Sound design in cars, especially sound control, such as echo cancellation, noise control, sound zones require highly linear and in most cases time invariant behavior of the audio playback system. The weakest part in such a complex system is the electro-acoustic transducer (loudspeaker). Low efficiency, changing material properties, nonlinear distortion generation and limited output are common challenges for traditional transducers. Using a new active control technology those problems can be considerably reduced. In this paper the consequences of those improvements for audio design in cars are elaborated

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                 Search Results (Displaying 1-10 of 21 matches)
AES - Audio Engineering Society