Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs...
A problem faced by groups that are not co-located but need to collaborate on a common task is the reduced access to the rich multimodal communicative context that they would have ...
Paulo Barthelmess, Edward C. Kaiser, Xiao Huang, D...
Abstract— This article presents the development of a humanrobot interaction mechanism based on vision. The functionalities required for such mechanism range from user detection a...