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    Wyświetlanie 1-5 z 5
    Tytuł:
    Quo Vadis, Business? The migration of companies between cities using the example of the Mazowieckie voivodship in Poland
    Autorzy:
    Cybulska, Magdalena
    Dziemianowicz, Wojciech
    Powiązania:
    https://bibliotekanauki.pl/articles/946889.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
    Tematy:
    Warsaw
    regional city
    sub-regional city
    polarisation
    migration of companies
    net migration
    Opis:
    Relations between metropolitan core cities and regional and sub-regional centres are part of a broader discussion on the importance of metropolitan areas for the development of regions. These relations are dealt with in this paper in the context of the growth pole theory. The paper focuses on the migration process in relation to enterprises. By moving their businesses, companies contribute to backwash and spread effects. Since company migrations between municipalities occur in both directions, the question remains open as to which migration direction dominates – whether from sub-regional centres to core cities or vice versa. This paper attempts to verify the hypothesis that regional and sub-regional centres in the Mazowieckie voivodship suffer the largest loss of enterprises due to migration to the core city of Warsaw. The results obtained were varied and the hypothesis was confirmed, especially in the case of three cities: Siedlce, Radom and Płock; and partly in the case of Ciechanów.
    Źródło:
    Miscellanea Geographica. Regional Studies on Development; 2020, 24, 4; 218-231
    0867-6046
    2084-6118
    Pojawia się w:
    Miscellanea Geographica. Regional Studies on Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Capturing emotions in voice: A comparative analysis of methodologies in psychology and digital signal processing
    Autorzy:
    Hekiert, Daniela
    Igras-Cybulska, Magdalena
    Powiązania:
    https://bibliotekanauki.pl/articles/2125376.pdf
    Data publikacji:
    2019-11-19
    Wydawca:
    Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
    Tematy:
    emotional vocalizations; emotional prosody; vocal bursts; process of encoding and decoding
    emotional vocalizations
    emotional prosody
    vocal bursts
    process of encoding and decoding
    Opis:
    People use their voices to communicate not only verbally but also emotionally. This article presents theories and methodologies that concern emotional vocalizations at the intersection of psychology and digital signal processing. Specifically, it demonstrates the encoding (production) and decoding (recognition) of emotional sounds, including the review and comparison of strategies in database design, parameterization, and classification. Whereas psychology predominantly focuses on the subjective recognition of emotional vocalizations, digital signal processing relies on automated and thus more objective vocal affect measures. The article aims to compare these two approaches and suggest methods of combining them to achieve a more complex insight into the vocal communication of emotions.
    Źródło:
    Roczniki Psychologiczne; 2019, 22, 1; 15-34
    1507-7888
    Pojawia się w:
    Roczniki Psychologiczne
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Speech Emotion Recognition Based on Voice Fundamental Frequency
    Autorzy:
    Dimitrova-Grekow, Teodora
    Klis, Aneta
    Igras-Cybulska, Magdalena
    Powiązania:
    https://bibliotekanauki.pl/articles/177227.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    emotion recognition
    speech signal analysis
    voice analysis
    fundamental frequency
    speech corpora
    Opis:
    The human voice is one of the basic means of communication, thanks to which one also can easily convey the emotional state. This paper presents experiments on emotion recognition in human speech based on the fundamental frequency. AGH Emotional Speech Corpus was used. This database consists of audio samples of seven emotions acted by 12 different speakers (6 female and 6 male). We explored phrases of all the emotions – all together and in various combinations. Fast Fourier Transformation and magnitude spectrum analysis were applied to extract the fundamental tone out of the speech audio samples. After extraction of several statistical features of the fundamental frequency, we studied if they carry information on the emotional state of the speaker applying different AI methods. Analysis of the outcome data was conducted with classifiers: K-Nearest Neighbours with local induction, Random Forest, Bagging, JRip, and Random Subspace Method from algorithms collection for data mining WEKA. The results prove that the fundamental frequency is a prospective choice for further experiments.
    Źródło:
    Archives of Acoustics; 2019, 44, 2; 277-286
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions : A review
    Autorzy:
    Igras-Cybulska, Magdalena
    Hemmerling, Daria
    Ziółko, Mariusz
    Datka, Wojciech
    Stogowska, Ewa
    Kucharski, Michał
    Rzepka, Rafał
    Ziółko, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/31339837.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    speech analysis
    speech features
    acoustic parameters
    linguistic analysis
    voice biomarkers
    screening test
    Opis:
    The goal of this article is to present and compare recent approaches which use speech and voice analysis as biomarkers for screening tests and monitoring of some diseases. The article takes into account metabolic, respiratory, cardiovascular, endocrine, and nervous system disorders. A selection of articles was performed to identify studies that assess voice features quantitatively in selected disorders by acoustic and linguistic voice analysis. Information was extracted from each paper in order to compare various aspects of datasets, speech parameters, methods of applied analysis and obtained results. 110 research papers were reviewed and 47 databases were summarized. Speech analysis is a promising method for early diagnosis of certain disorders. Advanced computer voice analysis with machine learning algorithms combined with the widespread availability of smartphones allows diagnostic analysis to be conducted during the patient’s visit to the doctor or at the patient’s home during a telephone conversation. Speech analysis is a simple, low-cost, non-invasive and easy-toprovide method of medical diagnosis. These are remarkable advantages, but there are also disadvantages. The effectiveness of disease diagnoses varies from 65% up to 99%. For that reason it should be treated as a medical screening test and should be an indication of the need for classic medical tests.
    Źródło:
    Archives of Acoustics; 2023, 48, 3; 289-315
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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