These keywords were added by machine and not by the authors. Several practical solutions are presented throughout the chapter with supporting experimental results. This chapter reviews the application of embedded ASR in mobile phones, and describes specific issues related to language development, noise robustness and embedded implementation and platforms.

In addition, mobile ASR systems need to achieve a virtually perfect performance level for user acceptance. In the mobile context several technological challenges have to be overcome concerning ambient noise in the environment, constraints of available hardware platforms and cost limitations, and necessity for wide language coverage. Example applications in mobile phones relying on embedded ASR are name dialling, phone book search, command-and-control and more recently large vocabulary dictation. A core technology enabler of voice UIs is automatic speech recognition (ASR). It is expected that the global proliferation of embedded devices will further strengthen this trend in the coming years. After decades of research and development, voice UIs are becoming widely deployed and accepted in commercial applications. Speech is considered as a natural way of interaction for man-machine interfaces. keyboard and display) are limited by small size, battery life and cost. In these devices more traditional ways of interaction (e.g.

Speech input implemented in voice user interface (voice UI) plays an important role in enhancing the usability of small portable devices, such as mobile phones.

Mobile speech to text software