Abstract
Traditional on-board vehicle computer (OVC) systems do not support speech recognition and do not have massive song library due to their limited storage capacity and computing power. Furthermore, it is very inconvenient to update the song library to keep it up-to-date. The advent of cloud computing in conjunction with mobile computing has enabled human voice song requesting and mass song playing from on-board computer in a vehicle. A system of human voice song requesting from OVC connected to the music cloud has been proposed. Self-adaptive speech recognition and speech recognition technology based on keywords from song titles has been adopted. By recognizing the voice on a song title in a cloud environment, the digital content of the selected song stored in the cloud is streamed to and then played back in the OVC. As a result, the system improves the safety of driving and enables automobile entertainment more humane.
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© 2014 Springer Science+Business Media Dordrecht
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Yi, D., Zhang, J. (2014). A Human Voice Song Requesting System Based on Connected Vehicle in Cloud Computing. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_58
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DOI: https://doi.org/10.1007/978-94-007-7262-5_58
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