This paper presents the Croatian context-dependent acoustic modelling used in speech recognition and in speech synthesis. The proposed acoustic model is based on context-dependent ...
Sanda Martincic-Ipsic, Slobodan Ribaric, Ivo Ipsic
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
— Optical networks with book-ahead bandwidth schedulers are being deployed to meet the high-speed and predictable-service networking requirements of applications in the scientiï¬...
Xiangfei Zhu, Mark E. McGinley, Tao Li, Malathi Ve...
We study a wireless network under the 802.11 random access protocol, supporting multiple physical layer rates. Based on models for the effective packet rates achieved at the MAC ...