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Analysis of Automatic Speech Recognition Failures in the Car

Ford Motor Company-Ranjani Rangarajan, Scott Amman, Leah Busch
Published 2019-04-02 by SAE International in United States
In this paper, an approach to analyze voice recognition data to understand how customers use voice recognition systems is explored. The analysis will help identify ASR failures and usability related issues that customers encounter while using the voice recognition system. This paper also examines the impact of these failures on the individual speech domains (media control, phone, navigation, etc.). Such information can be used to improve the current voice recognition system and direct the design of future systems. Infotainment system logs, audio recordings of the voice interactions, their transcriptions and CAN bus data were identified to be rich sources of data to analyze voice recognition usage. Infotainment logs help understand how the system interpreted or responded to customer commands and at what confidence level. The audio recordings of the voice interaction and their transcriptions provide information about what command is issued by the customer and if it adheres to the grammar of the voice recognition system. The system’s interpretation of the command from the logs can be compared to the actual command issued to detect…
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Automatic Speech Recognition System Considerations for the Autonomous Vehicle

Ford Motor Co., Ltd.-Joshua Wheeler
Published 2019-04-02 by SAE International in United States
As automakers begin to design the autonomous vehicle (AV) for the first time, they must reconsider customer interaction with the Automatic Speech Recognition (ASR) system carried over from the traditional vehicle. Within an AV, the voice-to-ASR system needs to be capable of serving a customer located in any seat of the car. These shifts in focus require changes to the microphone selection and placement to serve the entire vehicle. Further complicating the scenario are new sources of noise that are specific to the AV that enable autonomous operation. Hardware mounted on the roof that are used to support cameras and LIDAR sensors, and mechanisms meant to keep that hardware clean and functioning, add even further noise contamination that can pollute the voice interaction. In this paper, we discuss the ramifications of picking up the intended customer’s voice when they are no longer bound to the traditional front left “driver’s” seat. Considerations are made to the possibilities of new microphone construction and layouts to provide coverage for all potential passengers, and cost-efficient minimal microphone packages are…
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Aero-Vibro-Acoustic Simulation Methodologies for Vehicle Wind Noise Reduction

ESI Group-Chadwyck Musser, Massimiliano Calloni, Anton Golota, Nicolas Zerbib
Published 2019-01-09 by SAE International in United States
Wind noise is a major contributor to vehicle noise and a very common consumer complaint for overall vehicle quality [1]. The reduction of wind noise is becoming even more important as powertrain noise is reduced or eliminated (by conversion to hybrid and electric vehicles) and as the importance of quiet interior environment for hands-free device use and voice activation systems becomes more pronounced. In contrast to other noise sources such as tires, engine, intake, exhaust or other component noise whose acoustic loads may be measured in a direct and standardized way with the proper equipment, wind noise is very difficult to predict because the acoustic part of wind noise is a small component of overall fluctuating pressures. It is very challenging to either directly measure or to simulate the acoustic component of fluctuating exterior pressures using CFD (Computational Fluid Dynamics) without a great deal of specialized experience in this area. This paper addresses the challenges of Aero-Vibro-Acoustics (AVA) modeling specifically for vehicle wind noise applications and describes what types of CFD analyses are suitable for…
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Automotive Engineering: October 2018

  • Magazine Article
  • 18AUTP10_05
Published 2018-10-01 by SAE International in United States

Mercedes-Benz is fond of saying it cascades at least some of the S-Class' posh luxury and technology throughout its range. That's just what it has done for the fourth-generation A-Class, the nameplate that sits at the bottom of the brand's lineup. The new A-Class is heaped with cabin tech, in particular.

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Educating UGVs

  • Magazine Article
  • TBMG-28910
Published 2018-05-01 by Tech Briefs Media Group in United States

Advancements in the field of artificial intelligence (AI) are accelerating as the technology matures from being research-orientated to being deployed in a wide range of products and services, such as autonomous vehicles. While Convolutional Neural Networks (CNNs) were first described in the 1950s, the technology remained an academic concept until the availability of large training data sets and powerful Graphics Processor Units (GPUs), a processor architecture ideal for the heavy math computational demands associated with neural network processing. Once scientists had low-cost and high-performance platforms, the technology exploded for many commercial uses. Military use is more challenging due to the lack of large data sets, but that is changing too as areas including thermal imagery are starting to be used.

Augmented Reality Helps Surgeons See Through Tissue to Reconnect Blood Vessels

  • Magazine Article
  • TBMG-28743
Published 2018-04-01 by Tech Briefs Media Group in United States

Imperial College London London, UK

Sound Inaudible to Humans Can Be Recorded by Microphones

  • Magazine Article
  • TBMG-28702
Published 2018-04-01 by Tech Briefs Media Group in United States

Microphones, from those in smartphones to hearing aids, are built specifically to hear the human voice — humans can’t hear at levels higher than 20 kHz, and microphones max out at around 24 kHz, meaning that microphones only capture the sound humans hear.

Memristors Enable Quick-Learning Neural Network

  • Magazine Article
  • TBMG-28560
Published 2018-03-01 by Tech Briefs Media Group in United States

Inspired by brains, neural networks are composed of neurons (or nodes) and synapses, which are the connections between nodes. To train a neural network for a task, a neural network takes in a large set of questions and the answers to those questions. In this process of what’s called supervised learning, the connections between nodes are weighted more heavily or lightly to minimize the amount of error in achieving the correct answer.

Brainwave-Controlled Exoskeleton Restores Functional Grasp

  • Magazine Article
  • TBMG-28524
Published 2018-03-01 by Tech Briefs Media Group in United States

École Polytechnique Fédéral de LausanneLausanne, Switzerland

Paper-Thin Device Acts as a Loudspeaker and Microphone

  • Magazine Article
  • TBMG-28026
Published 2017-12-01 by Tech Briefs Media Group in United States

A paper-thin, flexible device was created that can generate energy from human motion, and can act as a loudspeaker and microphone. The transducer is ultrathin, flexible, scalable, and bidirectional, meaning it can convert mechanical energy to electrical energy, and vice-versa.