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In-Vehicle Speech Applications with Computing Headroom to Spare

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Delivering In-Vehicle Speech Applications with Computing Headroom to Spare

In-Vehicle Infotainment (IVI) applications, such as digital radio, Internet, DVD video and navigation systems, have evolved from novelties to “must-have” options for many car buyers. Consumers are drawn to cutting-edge features, such as hands free phone calls and voice activated navigation systems, which lead to increased safety and convenience.

This trend was borne out in a recent survey commissioned by Nuance, a leading provider of speech technologies. In the survey of 473 owners of speech-enabled cars, MAIX Market Research and Consulting Ltd. found a very high usage rate and acceptance level of speech-enabled functions. Eight out of nine participants actively use these functions, with over 70 percent expressing a high level of satisfaction and a willingness to recommend the capabilities to their friends.

When integrating compute-intensive IVI applications, such as speech, developers have to strike the right balance between performance, processing power, system size and cost. To satisfy these requirements, manufacturers of IVI systems need a plat-form with the performance to deliver innovative features, low power consumption to fit into small spaces, and a high-level of integration to lower cost.

This white paper details the performance of a platform based on the Intel® Atom™ processor E6xx Series running Nuance voice recognition software, which has less than 25 percent CPU processing overhead, leaving ample headroom available to run other applications at the same time. Consequently, the platform eliminates the need for dedicated signal processing hardware for noise enhancement. Particular compiler settings enable the platform to achieve a first response latency of 20 milliseconds for text-to-speech, which is about five times faster than the standard requirement. In addition, the use of Intel® Software Development Products contributed to an over 50 percent signal processing performance improvement.

Read the full paper on Delivering In-Vehicle Speech Applications.

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