Ep. 35 - Musical Complexity, Predictability & Enjoyment ft. Alexander Albury

<p>Our guest this week is <strong>Alexander Albury</strong>, <strong>PhD </strong>candidate in <strong>Psychology </strong>at <strong>Concordia University</strong>. His research is focused on uncovering the relationship between complexity, predictability and liking of music! Tune in for:</p> <p><strong>Questions Answered</strong><br> Is music more of an art or a science?<br> Can we tell the difference between human-made and artifical music?<br> What makes music complex and how do you even quantify complexity?<br> How do we differentiate the same note played on different instruments?<br> How do we meaure musical learning?<br> Who are the better predictors of melody: Jazz or Classical musicians?<br> Is learning language like learning an instrument?<br> and many more!</p> <p><strong>Topics &amp; Concepts Covered</strong><br> Music: Art vs. Science<br> Artificially Composed Music<br> The Duality of Complexity &amp; Predictability<br> Cultural Idiosyncrasies<br> Musical Experience<br> Timbre<br> Timing &amp; Beat<br> Expectancy &amp; Liking<br> Quantifying Complexity<br> Machine Learning: Predicting Music<br> Psychophysics &amp; Inverted U-Shaped Relationships<br> Measuring Learning: Raw Accuracy &amp; Asynchrony<br> Language vs. Music<br> Statistical Learning Theory</p> <p><strong>We Want To Hear From You, Yes, You!</strong></p> <p>Got ideas, feedback, questions, topics or guests for future episodes, harsh criticism, love and praise for the show, ambivalence about the content, anything at all? You're in luck, we're VERY reachable:</p> <p><strong>Email us by email:</strong> abstractcast@gmail.com</p> <p><strong>Message us on Facebook: </strong>facebook.com/abstractcast</p> <p><strong>Tweet us on Twitter:</strong> twitter.com/abstract_cast</p> <p><strong>DM/Comment/Tag us on Instagram:</strong> instagram.com/abstractcast</p> --- Send in a voice message: https://anchor.fm/abstractcast/message