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New research into how music conveys emotion could benefit the treatment of depression and the management of physical pain.
Using an innovative combination of music psychology and leading-edge audio engineering the project is looking in more detail than ever before at how music conveys emotion.
The project, at Glasgow Caledonian University is supported by the Engineering and Physical Sciences Research Council (EPSRC).
The research could lead to advances in the use of music to help regulate a person's mood, and promote the development of music-based therapies to tackle conditions like depressive illnesses. It could help alleviate symptoms for people who are dealing with physical pain and even lead to doctors putting music on a prescription that is tailored to suit the needs of an individual.
"The impact of a piece of music on a person goes so much further than thinking that a fast tempo can lift a mood and a slow one can bring it down. Music expresses emotion as a result of many factors," says audio engineering specialist Dr Don Knox, project leader. "These include the tone, structure and other technical characteristics of a piece. Lyrics can have a big impact too. But so can purely subjective factors: where or when you first heard it, whether you associate it with happy or sad events and so on. Our project is the first step towards taking all of these considerations -- and the way they interact with each other -- on board."
Raymond MacDonald, Professor of Music Psychology at Glasgow Caledonian University, is also playing a central role in the initiative.
The team are now about to start their assessment of the impact of lyrics, and then hope to focus on how individuals use and experience music at a subjective level.
The ultimate aim is to develop a comprehensive mathematical model that explains music's ability to communicate different emotions. This could make it possible, within a few years, to develop computer programs which identify pieces of music that will influence a individual's mood (e.g. to motivate them when exercising or when revising for exams), meet their emotional needs and help them cope better with physical pain.
In this project, digital music files are analysed using advanced signal processing techniques. Many measures are based on extraction of the signal frequency spectrum over time. From this information, measures of intensity, timbre and rhythm can be calculated, in addition to estimates of musical pitch and tonality.
Read more: http://www.sciencedaily.com/releases...0909101557.htm
Using an innovative combination of music psychology and leading-edge audio engineering the project is looking in more detail than ever before at how music conveys emotion.
The project, at Glasgow Caledonian University is supported by the Engineering and Physical Sciences Research Council (EPSRC).
The research could lead to advances in the use of music to help regulate a person's mood, and promote the development of music-based therapies to tackle conditions like depressive illnesses. It could help alleviate symptoms for people who are dealing with physical pain and even lead to doctors putting music on a prescription that is tailored to suit the needs of an individual.
"The impact of a piece of music on a person goes so much further than thinking that a fast tempo can lift a mood and a slow one can bring it down. Music expresses emotion as a result of many factors," says audio engineering specialist Dr Don Knox, project leader. "These include the tone, structure and other technical characteristics of a piece. Lyrics can have a big impact too. But so can purely subjective factors: where or when you first heard it, whether you associate it with happy or sad events and so on. Our project is the first step towards taking all of these considerations -- and the way they interact with each other -- on board."
Raymond MacDonald, Professor of Music Psychology at Glasgow Caledonian University, is also playing a central role in the initiative.
The team are now about to start their assessment of the impact of lyrics, and then hope to focus on how individuals use and experience music at a subjective level.
The ultimate aim is to develop a comprehensive mathematical model that explains music's ability to communicate different emotions. This could make it possible, within a few years, to develop computer programs which identify pieces of music that will influence a individual's mood (e.g. to motivate them when exercising or when revising for exams), meet their emotional needs and help them cope better with physical pain.
In this project, digital music files are analysed using advanced signal processing techniques. Many measures are based on extraction of the signal frequency spectrum over time. From this information, measures of intensity, timbre and rhythm can be calculated, in addition to estimates of musical pitch and tonality.
Read more: http://www.sciencedaily.com/releases...0909101557.htm
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