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The Essentials of Automotive Hands-Free Systems

January 2013
12 pages
The Essentials of Automotive Hands-Free Systems

This paper attempts to facilitate the task of choosing a hands-free system by describing key features and characteristics that contribute to system performance. After describing these features and characteristics, it presents a checklist which OEMs and Tier 1 manufacturers considering an automotive hands-free system for their vehicles can use to help them make their choices.


Introduction — Acoustic echo cancellation — Noise reduction and speech reconstruction — Multi-channel support — Automatic gain control — Equalization — Wind buffet suppression — Intelligibility enhancement — Noise dependent receive gain — Bandwidth extension — Wideband support — Appendix: Decision checklists [+]

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Phil Hetherington

Phil Hetherington

Phil Hetherington is Director of R&D at QNX, where he is responsible for all research, development, and quality assurance activities relating to speech and automotive acoustics.

Prior to joining QNX, he developed three software programs for the analysis of neural clusters (AUTOCUT), hippocampal place fields (PFA), and genetic arrays (GAE). He holds over 47 patents in acoustics processing, and is an accomplished author and presenter.

Phil has a B.A. in Psychology from Brock University, and a Ph.D. in Neuroscience from McGill University.

Andrew Mohan

Andrew Mohan

Andrew Mohan is a Senior Engineer at QNX, where he focuses on Acoustics and Digital Signal Processing. He holds a Masters degree in Electrical and Computer Engineering, and has worked in Automotive Telematics for the past 13 years.

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