Consumer experiences as a driver of contemporary brand and marketing management are taken up nowadays by many researchers and academics. It’s merely compelled by bored with generic products and services consumers who much more than ever look for intensive, personalized experiences. However, there is a significant gap in knowledge how to transfer these global changes to the needs of effective tourist product management. The article presents a brand-new approach called ‘the experience key’ for discovering, grouping and converting common, dedicated to a certain destination customers experiences into clear and desirable tourist offer with meaningful competitive impact. One of most important advantages of the methodology is its simplicity and ease-of-use for any professionals involved in destination product management by using well-know research methods and apparent applicability into the process of building and selling tourist offer of a place. The Experience Key can be regarded as a missing link between theoretical considerations led by academics and expectations of tourism industry representatives in the context of applying customer experience to place brand and product management.

A phoneme segmentation method based on the analysis of discrete wavelet transform spectra is described. The localization of phoneme boundaries is particularly useful in speech recognition. It enables one to use more accurate acoustic models since the length of phonemes provide more information for parametrization. Our method relies on the values of power envelopes and their first derivatives for six frequency subbands. Specific scenarios that are typical for phoneme boundaries are searched for. Discrete times with such events are noted and graded using a distribution-like event function, which represent the change of the energy distribution in the frequency domain. The exact definition of this method is described in the paper. The final decision on localization of boundaries is taken by analysis of the event function. Boundaries are, therefore, extracted using information from all subbands. The method was developed on a small set of Polish hand segmented words and tested on another large corpus containing 16 425 utterances. A recall and precision measure specifically designed to measure the quality of speech segmentation was adapted by using fuzzy sets. From this, results with F-score equal to 72.49% were obtained.

The purpose of this article is to show the function and frequency of Turkish loanwords in modern Croatian language based on a questionnaire survey. Respondents were diversified in age, gender nad origin. The subject of analysis were stylistically marked loanwords that have fallen victim to a puristic language policy pursued by the Croatian linguists in popular language guides, especially in the 1990s. As survey results show, these activities aimed at removing Turkish loanwords from Croatian languague proved to be ineffective. Most of these words are still being used by the Croats simultaneously with the native synonyms. Puristic view declared by some of the respondents does not affect the usage of the Turkish loanwords in unofficial situations.