论文信息 - Research Challenges and Opportunities in Mobile Applications [DSP Education]

Research Challenges and Opportunities in Mobile Applications [DSP Education]

Following the rapid proliferation of mobile devices, especially smartphones, both server-based and embedded speech and multimodal applications started to emerge. These range from simpler applications where speech recognition is followed by a known task such as voice search or messaging, to more complex systems such as speech-to-speech translation, educational applications, or personal assistants.

Gökhan Tür | Dilek Z. Hakkani-Tür | Larry P. Heck | Larry Heck | Gökhan Tür

[1] Pascal Poupart,et al. Partially Observable Markov Decision Processes with Continuous Observations for Dialogue Management , 2008, SIGDIAL.

[2] Chin-Hui Lee,et al. Automatic recognition of keywords in unconstrained speech using hidden Markov models , 1990, IEEE Trans. Acoust. Speech Signal Process..

[3] Marilyn A. Walker,et al. MATCH: An Architecture for Multimodal Dialogue Systems , 2002, ACL.

[4] Gokhan Tur,et al. Spoken Language Understanding: Systems for Extracting Semantic Information from Speech , 2011 .

[5] Jean-Luc Gauvain,et al. User evaluation of the MASK kiosk , 1998, Speech Commun..

[6] Giuseppe Riccardi,et al. Automated Natural Spoken Dialog , 2002, Computer.

[7] Jeremy Peckham,et al. Speech Understanding and Dialogue over the telephone: an overview of the ESPRIT SUNDIAL project. , 1991, HLT.

[8] Steve J. Young,et al. Talking to machines (statistically speaking) , 2002, INTERSPEECH.

[9] Li Deng,et al. MiPad: a multimodal interaction prototype , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).