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H. W. Gierlich Head of Telecom Division, HEAD acoustics GmbH Chair of ITU-T FG CarCOM

Human Machine Interface (HMI) and signal processing for Intelligent Transport Systems (ITS) Requirements and Technologies for Seamless Interaction with Car Systems. H. W. Gierlich Head of Telecom Division, HEAD acoustics GmbH Chair of ITU-T FG CarCOM.

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H. W. Gierlich Head of Telecom Division, HEAD acoustics GmbH Chair of ITU-T FG CarCOM

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  1. Human Machine Interface (HMI) and signal processing for Intelligent Transport Systems (ITS) Requirements and Technologies for Seamless Interaction with Car Systems H. W. Gierlich Head of Telecom Division, HEAD acoustics GmbH Chair of ITU-T FG CarCOM

  2. Highlights from Presentation 1“Speech Technologies in Cars and the Role of ITU-TTitle of Presentation” • Speech technologies in cars may actively contribute to deploy new services in cars • Speech technologies may help to reduce drivers distraction if properly implemented • HEAD acoustics is providing all types of test services and systems for testing and optimization of speech technologies • ITU-T is an excellent source and basis for speech related technologies and their standardization • FG CarCOM is actively working on advanced standards for hands-free implementations and subsystems, more: http://www.itu.int/ITU-T/focusgroups/carcom/

  3. Highlights from Presentation 2“Connected Speech in Cars” • Speech services need to be properly implemented – if so drivers distraction can be reduced • Quality of speech services must an will be increased • Speech is advantageous over traditional UI’s esp. when searching long lists in the automotive environment • Services based on speech technology will increase, people want to be always connected

  4. Highlights from Presentation 3“Voice Interaction in the Car: From Gadgets to Personal Assistants” • Drivers expectations on the quality of speech services are high • Lot of achievements were made over the last years: • Seamless integration of prerecorded prompts and TTS • Compatibility with phonetic maps in TTS • Mixed Language – phonetic mapping in TTS • Recognition on very large vocabularies • One-shot VDE (multi-step recognition) • The challenges: • Match user formulation • Language mismatch • Virtual personal assistant is becoming reality soon

  5. Conclusions / Recommendations • Quality and naturalness of all speech services need to be increased for less drivers distraction and seamless interaction • Work on a standards-based framework for dialogue interaction is highly needed, an appropriate place could be ITU-T FG CarCOM

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