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  • Search: subject:"Speech Analysis"
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Year of publication
Subject
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Artificial intelligence 4 Künstliche Intelligenz 4 Language 3 Speech Analysis 3 Sprache 3 Ankündigungseffekt 2 Announcement effect 2 Central Bank Communication 2 Central bank 2 Communication 2 Geldpolitik 2 High-Frequency Data 2 Kommunikation 2 Monetary policy 2 Multimodal Machine Learning 2 Political communication 2 Politische Kommunikation 2 Tail Risk 2 Volatility 2 Volatilität 2 Zentralbank 2 speech analysis 2 ANNs 1 Arbeitsverhalten 1 Basis pursuit 1 Bias 1 Classification Analysis 1 Clustering 1 FAVE 1 Forecasting model 1 Gender 1 Gender discrimination 1 Geschlecht 1 Geschlechterdiskriminierung 1 Implicit gender bias 1 Independent component analysis 1 Linear predictive coding 1 Linguistics 1 Linguistik 1 Logistic Regression Presidency 1
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Online availability
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Undetermined 5 Free 2
Type of publication
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Article 4 Book / Working Paper 3
Type of publication (narrower categories)
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Arbeitspapier 3 Working Paper 3 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 5 Undetermined 2
Author
All
Ahrens, Maximilian 2 Erdemlioglu, Deniz 2 McMahon, Michael 2 Neely, Christopher J. 2 Yang, Xiye 2 Ash, Elliott 1 Bauer Jr., Kenneth W. 1 Bihl, Trevor J. 1 Chen, Daniel L. 1 Deshmukh, Richa 1 Goddard, John 1 Hu, Weixuan 1 Jaiswal, Divisha 1 Ochani, Hitesh 1 Rocha, Luis F. 1 Rufiner, Hugo L. 1 Sramka, Martin 1 Torres, María E. 1 Tuckova, Jana 1 Vunikili, Ramya 1 Zhao, Shukuan 1
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Published in...
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Discussion papers / CEPR 1 International Journal of Data Analysis Techniques and Strategies 1 International Journal of Information Systems and Social Change (IJISSC) 1 International journal of technology management : IJTM 1 Physica A: Statistical Mechanics and its Applications 1 Working paper 1 Working papers / TSE : WP 1
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Source
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ECONIS (ZBW) 4 RePEc 2 Other ZBW resources 1
Showing 1 - 7 of 7
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Mind your language: market responses to central bank speeches
Ahrens, Maximilian; Erdemlioglu, Deniz; McMahon, Michael; … - 2023
Persistent link: https://www.econbiz.de/10014320637
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Mind your language : market responses to central bank speeches
Ahrens, Maximilian; Erdemlioglu, Deniz; McMahon, Michael; … - 2023
Persistent link: https://www.econbiz.de/10014325089
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Analysis of vocal implicit bias in SCOTUS decisions through predictive modelling
Vunikili, Ramya; Ochani, Hitesh; Jaiswal, Divisha; … - 2018
Persistent link: https://www.econbiz.de/10013502363
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Study of employee behaviour based on artificial intelligence linguistic and speech analysis
Hu, Weixuan; Zhao, Shukuan - In: International journal of technology management : IJTM 86 (2021) 2/4, pp. 183-195
Persistent link: https://www.econbiz.de/10012693427
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Statistical Analysis of High-Level Features from State of the Union Addresses
Bihl, Trevor J.; Bauer Jr., Kenneth W. - In: International Journal of Information Systems and Social … 8 (2017) 2, pp. 50-73
A computational political science approach is taken to analyze the State of the Union Addresses (SUA) from 1790 to 2015. While low-level features, e.g. linguistic characteristics, are commonly used for lexical analysis, the authors herein illustrate the utility of high-level features, e.g....
Persistent link: https://www.econbiz.de/10012045753
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ANN application in emotional speech analysis
Tuckova, Jana; Sramka, Martin - In: International Journal of Data Analysis Techniques and … 4 (2012) 3, pp. 256-276
In the present text, we deal with the problem of classification of speech emotion. Problems of speech processing are addressed through the use of artificial neural networks (ANNs). The results can be used for two research projects - for prosody modelling and for analysis of disordered speech....
Persistent link: https://www.econbiz.de/10010669742
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Statistical method for sparse coding of speech including a linear predictive model
Rufiner, Hugo L.; Goddard, John; Rocha, Luis F.; … - In: Physica A: Statistical Mechanics and its Applications 367 (2006) C, pp. 231-251
Recently, different methods for obtaining sparse representations of a signal using dictionaries of waveforms have been studied. They are often motivated by the way the brain seems to process certain sensory signals. Algorithms have been developed using a specific criterion to choose the...
Persistent link: https://www.econbiz.de/10011060654
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