By Yves Rybarczyk, Tiago Cardoso, João Rosas, Luis M. Camarinha-Matos (eds.)
This publication includes the end result of the ninth IFIP WG 5.5 overseas summer season Workshop on Multimodal Interfaces, eNTERFACE 2013, held in Lisbon, Portugal, in July/August 2013. The nine papers incorporated during this booklet characterize the result of a 4-week workshop, the place senior and junior researchers labored jointly on initiatives tackling new tendencies in human-machine interplay (HMI). The papers are equipped in topical sections. the 1st one offers assorted proposals occupied with a few primary concerns relating to multimodal interactions, i.e., telepresence, speech synthesis and interactive modeling. the second one is a collection of improvement examples in key parts of HMI functions, i.e., schooling, leisure and assistive technologies.
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Extra resources for Innovative and Creative Developments in Multimodal Interaction Systems: 9th IFIP WG 5.5 International Summer Workshop on Multimodal Interfaces, eNTERFACE 2013, Lisbon, Portugal, July 15 – August 9, 2013. Proceedings
We contracted a professional female singer, EB, and the recordings were done in a professional recording studio. Seven pieces were recorded with multiple renditions in three diﬀerent styles: neutral, classical and 2 In our work we constrain our domain to Western classical singing, because it is well-formalised and a sizeable amount of previous technical work exists. 32 N. d’Alessandro et al. belting. Since naturalness was high priority, the pieces were chosen from EB’s repertoire of jazz, classical, folk and contemporary music, which she was comfortable and conﬁdent in performing.
The resulting context labels included 23 contexts down from 53. Informally no noticeable drop in quality was perceived Reactive Statistical Mapping 35 on a voice re-trained on the reduced context set compared to a voice trained on the standard HTS contexts. The system works with word-sized chunks, such that every time a user inputs a complete word the system will provide the labels necessary to synthesise the word, with a minimum of two phonemes. 4 dictionary from which stress patterns, syllables and phones are retrieved and the labels created.
The ﬁrst stage in this process is the decoding of the input sequences. The implemented solution for the decoding uses the HTK software toolkit . A realtime data stream is simulated by sending the input data with a speciﬁed frame rate to the HRec algorithm, a HTK module that applies the Viterbi algorithm. We added, in the pdfs of the observations, a mask vector to inhibit the channels corresponding to the outputs of the mapping process. This decoding ˆ that is being played by the streamed stage provides the most likely HMM λ data and the current state for this model.