This paper presents the acoustical study of an emotional speech database in standard Basque to determine the set of parameters that can be used for the recognition of emotions. The database is divided into two parts, one with neutral texts and another one with texts semantically related with the emotion. The study is performed on both parts, in order to known whether the same criteria may be used to recognize emotions independently of the semantic content of the text. Mean F0, F0 range, maximum positive slope in F0 curve, mean phone duration and RMS energy are analyzed. The parameters selected can distinguish emotions in both corpora, so they are suitable for emotion recognition.
For promoting the diffusion of GSHP and making the technology more accessible to the general public, in the H2020 research project “CHeap and Efficient APplication of reliable Ground Source Heat exchangers and PumpS” (acronym Cheap-GSHPs) a tool for sizing these systems has been developed, as well as a Decision Support System (DSS) able to assist the user in the preliminary design of the most suitable configuration.
For all these tools a common platform has been carried out considering climatic conditions, energy demand of buildings, ground thermal properties, heat pump solutions repository, as well as renewable energy database to use in synergy with the GSHPs. Since the aims of the tools are different, there are different approaches.
The design tool is mainly addressed to designers. The calculation may be done in two ways: with a simplified method based on the ASHRAE approach and with a detailed calculation based on the numerical tool CaRM (Capacity-Resistance method).
The DSS final aim is to support decision-making, by providing the stakeholders at all the level with a series of scenario. The Cheap-GSHPs project has developed a DSS tool aimed at accelerating the decision-making process of designers and building owners as well as increasing market share of the Cheap-GSHPs technologies. Hence the DSS generates different possible solutions based on a defined general problem, identifying the optimal solution.
Both tools are presented in the paper, showing the potentialities provided by both software.
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