Titlebook: Speech and Computer; 18th International C Andrey Ronzhin,Rodmonga Potapova,Géza Németh Conference proceedings 2016 Springer International P

embolus

A Preliminary Exploration of Group Social Engagement Level Recognition in Multiparty Casual Conversadecide suitable strategies in various human machine interaction scenarios. In this paper we report on studies we have carried out on the novel research topic about social group engagement in non-task oriented (casual) multiparty conversations. Fusion of hand-crafted acoustic and visual cues was used

Asparagus

Foment

An Algorithm for Phase Manipulation in a Speech Signal that the phase spectrum is also perceptually relevant. In case of speech, its relevance can be established through experiments with speech vocoding or parametric speech synthesis, where particular ways of manipulating the phase of voiced excitation (i.e. setting it to zero or random values) can be

座右铭

An Exploratory Study on Sociolinguistic Variation of Russian Everyday Speechian and analyzing the special characteristics of its usage by different social groups of speakers. The research is based on the material of the ORD corpus containing long-term audio recordings of everyday communication. The aim of the given exploratory study is to reveal the linguistic parameters, i

propose

Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Trainingl have no occurrences in a small adaptation data set. Recently, a multi-task training technique has been proposed that trains the network with context-dependent and context-independent targets in parallel. This network structure offers a straightforward way for network adaptation by training only th

SEED

独白

Oafishness

eczema

menopause

Backchanneling via Twitter Data for Conversational Dialogue Systemsg, which is not just limited to simple “hm” or “sure” responses, to realize smooth communication in conversational dialogue systems. We formulate the problem of what the backchanneling generation function should return for given user inputs as a multi-class classification problem and determine a sui