The role of loudness in detection of surprising events in music recordings
The abrupt change of loudness is a salient event that is not always expected by a music listener. Therefore loudness is an important cue when seeking for events in a music stream that could violate human expectations. The concept of expectation and surprise in music has become recently the subject of extensive research, however mostly using symbolic data. The aim of this work is to investigate the circumstances when a change of sound intensity could be surprising for a listener. Then, using this knowledge, we aim to build a computational model that analyzes an audio stream and points to potential violations of human expectation. In order to check the quality of human prediction, an online (web-based) experiment, based on a gambling paradigm, has been performed. The subjects, after listening to an excerpt from real recordings of classical music, were asked to bet on how loud would be the next continuing seconds. . The results of the survey have shown that the moments of sudden changes of intensity more likely caused mispredictions, however it is obvious that the loudness itself is not the only factor that determines human expectations.
...
Conference
ESCOM 2009 : 7th Triennial Conference of European Society for the Cognitive Sciences of MusicMetadata
Show full item recordCollections
- ESCOM 2009 [101]
License
Related items
Showing items with similar title or keywords.
-
Parameter estimation for allometric trophic network models : A variational Bayesian inverse problem approach
Tirronen, Maria; Kuparinen, Anna (John Wiley & Sons, 2024)Differential equation models are powerful tools for predicting biological systems, capable of projecting far into the future and incorporating data recorded at arbitrary times. However, estimating these models' parameters ... -
External networked learning in anticipating change : the case of a Finnish vocational educational organization
Ossom, Emmanuel Nartey (2012)Tämä tutkimus selvitti laadullisella tapaustutkimusmetodilla, miten suomalainen ammattioppilaitos luottaa ulkoisista verkostoista oppimiseen tunnistaakseen heikkoja signaaleja, jotka ovat hyödyllisiä muutoksen ennakoinnissa ... -
Social Network-Based Content Delivery in Device-to-Device Underlay Cellular Networks Using Matching Theory
Xu, Chen; Gao, Caixia; Zhou, Zhenyu; Chang, Zheng; Jia, Yunjian (Institute of Electrical and Electronics Engineers, 2017)With the popularity of social network-based services, the unprecedented growth of mobile date traffic has brought a heavy burden on the traditional cellular networks. Device-to-device (D2D) communication, as a promising ... -
Assessment of the impacts of an oil spill on the populations of common guillemot (Uria aalge) and long-tailed duck (Clangula hyemalis) - an expert knowledge based Bayesian network for the Gulf of Finland
Venesjärvi, Riikka (2012)The amount of operated oil transports continues to increase in the Gulf of Finland and in the case of an accident hazardous amounts of oil may be spilled into the sea. The oil accident may be harmful for the common guillemot ... -
Using recorded audio feedback in multi-cultural higher e-education : How do academics experience? A thematic network analysis
Heimbürger, Anneli; Keto, Harri; Turunen, Jari (IOS Press, 2020)The aim of our study is to shed light on how academics experience using recorded audio feedback (RAF) as a feedback method in multi-cultural higher e-Education context. We adopted a qualitative content analysis approach, applying ...