Titlebook: Spoken Dialogue Systems for Ambient Environments; Second International Gary Geunbae Lee,Joseph Mariani,Satoshi Nakamura Conference proceedi

chance

jumble

正論

Expansion of WFST-Based Dialog Management for Handling Multiple ASR Hypotheseshe next action of the system responding to the user input. In our previous research, we evaluated the dialog strategy by referring to the manual transcription. Then in this paper, we present the performance of WFSTDM when speech recognition hypotheses are input. To alleviate degradation of the DM pe

Inexorable

D3 Toolkit: A Development Toolkit for Daydreaming Spoken Dialog Systemsodels and self-evolution of the dialog system is possible by replacing the old models. We implemented the D3 toolkit using web-based technologies to provide a familiar environment to non-expert end-users.

用不完

毀壞

Hansj?rg Hofmann,Sakriani Sakti,Ryosuke Isotani,Hisashi Kawai,Satoshi Nakamura,Wolfgang Minker

煞費(fèi)苦心

描述

Impact of a Newly Developed Modern Standard Arabic Speech Corpus on Implementing and Evaluating Automined. Two development phases were conducted based on the size of training data, Gaussian mixture distributions, and tied states (senones). Overall results indicate that larger training data size result higher word recognition rates and lower Word Error Rates (WER).

反復(fù)無常

User and Noise Adaptive Dialogue Management Using Hybrid System Actionsdiscuss the impact of user experience and channel noise on complex action selection. Our experimental results obtained using simulated users reveal that user and noise adaptive hybrid action selection can perform better than dialogue policies which can only perform simple actions.

阻礙