Sökning: "Voice Field"
Visar resultat 1 - 5 av 62 avhandlingar innehållade orden Voice Field.
1. Mapping Individual Voice Quality over the Voice Range : The Measurement Paradigm of the Voice Range Profile
Sammanfattning : The acoustic signal of voiced sounds has two primary attributes: fundamental frequency and sound level. It has also very many secondary attributes, or ‘voice qualities’, that can be derived from the acoustic signal, in particular from its periodicity and its spectrum. LÄS MER
2. Voice use in teaching environments: Speakers' comfort
Sammanfattning : Teachers have high occupational voice demands and is a group frequently presented at voice clinics. Little is known about the teachers’ own view of the contribution from the environment and about the teachers’ voice use at their work-place. LÄS MER
3. Are you ready for a wet live-in? : explorations into listening
Sammanfattning : Listen. If I ask you to listen, what is it that I ask of you—that you will understand, or perhaps obey? Or is it some sort of readiness that is requested? What occurs with a body in the act of listening? How do sound and voice structure audio-visual-spatial relations in concrete situations?This doctoral thesis in fine arts consists of six artworks and an essay that documents the research process, or rather, acts as a travelogue as it stages and narrates a series of journeys into a predominantly sonic ecology. LÄS MER
4. The Unequal Playing Field : Headquarters’ Attention and Subsidiary Voice in Multinational Corporations
Sammanfattning : Attention of top managers has an impact on future direction of an organization according to the attention-based view of the firm. In the context of multinational corporations, headquarters’ attention is likely to influence the actions and behavior of subsidiaries. LÄS MER
5. Voice for Decision Support in Healthcare Applied to Chronic Obstructive Pulmonary Disease Classification : A Machine Learning Approach
Sammanfattning : Background: Advancements in machine learning (ML) techniques and voice technology offer the potential to harness voice as a new tool for developing decision-support tools in healthcare for the benefit of both healthcare providers and patients. Motivated by technological breakthroughs and the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, numerous studies aim to investigate the diagnostic potential of ML algorithms in the context of voice-affecting disorders. LÄS MER