Difference between revisions of "The Weekly Address, A model for a politician"
From Algolit
(Created page with "{| |- | Type: || Algoliterary Work |- | Datasets: || The Weekly Address, videos on https://www.youtube.com/channel/UCDGknzyQfNiThyt4vg4MlTQ/search?query=weekly+address yout...") |
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| − | The Weekly Address, a Model for a Politician researches the role of language and image profiles in politics and their ability to influence our | + | The Weekly Address, a Model for a Politician researches the role of language and image profiles in politics and their ability to influence our judgment. |
The installation employs speech recognition and machine learning to analyse patterns in a politician’s way of speaking. While machine learning recognises patterns and produces reliable and repeatable results based on a data set, politicians construct patterns through rhetoric, often repeating their message to convey their own truth. | The installation employs speech recognition and machine learning to analyse patterns in a politician’s way of speaking. While machine learning recognises patterns and produces reliable and repeatable results based on a data set, politicians construct patterns through rhetoric, often repeating their message to convey their own truth. | ||
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| + | The installation is based on on a database which was generated by letting a speech recognition algorithm listen to Obama's Weekly Address. The recognised words were stored as text and analysed using a Markov Chain. There are two interfaces to this database, one showing repeated sentences or word combinations and the other allowing the generation of new speeches. | ||
Revision as of 14:54, 30 October 2017
| Type: | Algoliterary Work |
| Datasets: | The Weekly Address, videos on [youtube] |
| Technique: | Markov Chain, PocketSphinx |
| Developed by: | Gijs de Heij |
The Weekly Address, a Model for a Politician researches the role of language and image profiles in politics and their ability to influence our judgment.
The installation employs speech recognition and machine learning to analyse patterns in a politician’s way of speaking. While machine learning recognises patterns and produces reliable and repeatable results based on a data set, politicians construct patterns through rhetoric, often repeating their message to convey their own truth.
The installation is based on on a database which was generated by letting a speech recognition algorithm listen to Obama's Weekly Address. The recognised words were stored as text and analysed using a Markov Chain. There are two interfaces to this database, one showing repeated sentences or word combinations and the other allowing the generation of new speeches.