Computer Vision Pattern Recognition

Speech and Computer: 16th International Conference, SPECOM by Andrey Ronzhin, Rodmonga Potapova, Delic Vlado

By Andrey Ronzhin, Rodmonga Potapova, Delic Vlado

This booklet constitutes the refereed lawsuits of the sixteenth overseas convention on Speech and laptop, SPECOM 2014, held in Novi unhappy, Serbia. The fifty six revised complete papers provided including three invited talks have been conscientiously reviewed and chosen from a hundred preliminary submissions. it's a convention with lengthy culture that draws researchers within the quarter of computing device speech processing (recognition, synthesis, figuring out etc.) and comparable domain names (including sign processing, language and textual content processing, multi-modal speech processing or human-computer interplay for instance).

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Additional info for Speech and Computer: 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014. Proceedings

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13] found that for Sesotho, the Fujisaki captures tone commands of positive amplitudes for the high tones. For other tonal languages that have been investigated using this technique, such as Mandarin [4], Thai [5], and Vietnamese [14], low tones are captured by tone commands of negative polarity. In contrast, low tones in Sesotho were found to be associated with the absence of tone commands. It should be noted that, unlike Sesotho, so far there has been no reported research into the modelling of intonation using the Fujisaki model for Serbian.

During my Internet search I found less than 50 languages with TTS and less than 100 languages with ASR support worldwide. That does not include the domain specific alternatives that have been argued for in the previous sessions. So there is an incredible amount work that should be performed to provide proper solutions at least to several non-English speaking societies. There is a lack of readily available tools and data with specific information about language dependent and language independent features.

Domain Specific Solutions Just as there is no single shoe type for everyone there is no single ASR or TTS system for all applications as long as we have no unified model of human communication suitable for engineering implementation. In the meantime the best approach is to create domain specific systems. It is not even sure that we should always strive for human-like performance. That may lead to the “uncanny valley” effect well known from robotics. Maybe in most cases our talking applications should behave rather in a way that resembles to special pets.

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