User: Guest  Login
Document type:
Masterarbeit 
Author(s):
Hanna Jasmin Schäfer 
Title:
Deriving Conversational Social Contexts from Audio-Data 
Translated title:
Erschließen von gesprächsbezogenen sozialen Kontexten aus Audio-Daten 
Abstract:
This thesis aims at processing recordings of human conversation and characterizing them regarding their social context. The social characterization is part of a larger system predicting the interruptibility of smart phone users by recording and classifying their conversations. The aspects used as characteristics are speaker emotions on the one hand and speech affects on the other hand. All predictions are based solely on auditive reception without processing the spoken text. The first part of th...    »
 
Keywords:
Audio, GMM, iVector, RNN, LSTM, Emotion, Classification, Regression 
Subject:
DAT Datenverarbeitung, Informatik 
DDC:
000 Informatik, Wissen, Systeme 
Advisor:
Schulze, Florian 
Referee:
Groh, Georg (Priv.-Doz. Dr.) 
Date of acceptation:
15.09.2015 
Year:
2015 
Pages:
61 
Language:
en 
Language from translation:
de 
University:
Technische Universität München 
Faculty:
Fakultät für Informatik 
City:
Garching bei München