Author Archives: Joseph Pater

Music and language events this week

On Tuesday April 10th 3-4 pm in ILC N458, there will de a discussion of “Harmonic syntax of the 12-bar blues” by UMass Linguistics undergrad alum Jonah Katz. A link and abstract appear below.

On Friday April 13th 2:30 – 3:30 in ILC N400, Stefanie Acevedo (Yale) will present “Explaining expectation entropically: An empirical study of harmony in popular music” (abstract below).

At 3:30 Friday the 13th, David Temperley (Eastman School of Music) will present “A Model of Emotional Expression in Rock”.

All are welcome to all of these events. Please contact Joe Pater if you would like to meet with either Acevedo or Temperley while they are here.

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Jonah Katz (2017). Harmonic syntax of the 12-bar blues: a corpus study. Music Perception, 35(2), 165-192. Preprint (LingBuzz). Supplementary materials: data, statistical models, tree graphs, description of modeling.

Abstract. This paper describes the construction and analysis of a corpus of harmonic progressions from 12- bar blues forms included in the jazz repertoire collection The Real Book. A novel method of coding and analyzing such data is developed, using a notion of ‘possible harmonic change’ derived from the corpus and logit mixed-effects regression models describing the difference between actually occurring harmonic changes and possible but non-occurring ones in terms of various sets of theoretical constructs. Models using different sets of constructs are compared using the Bayesian Information Criterion, which assesses the accuracy and complexity of each model. The principal results are that: (1) transitional probabilities are better modeled using root-motion and chord- frequency information than they are using pairs of individual chords; (2) transitional probabilities are better described using a mixture model intermediate in complexity between a bigram and full trigram model; and (3) the difference between occurring and non-occurring chords is more efficiently modeled with a hierarchical, recursive context-free grammar than it is as a Markov chain. The results have implications for theories of harmony, composition, and cognition more generally.

Acevedo abstract: Given a preponderance of common _stock_ progressions in popular music, like the “Doo-Wop” (I-vi-IV-V) or the “Axis” (I-V-vi-IV) progressions, sequences of chords are often taken as a starting point for analysis. These chord sequences contextualize the sometimes _non-functional_ chord usage in popular music. While recent music-theoretical work uses computational methods to analyze harmonic probabilities in musical corpora and model their stylistic norms, it often focuses on analyzing lower-order probabilities such as single chord counts or chord-to-chord transitional probabilities. In this talk, I propose the use of information entropy, a measure of statistical uncertainty, as a way to segment harmonic progressions in a corpus of popular music (the McGill Billboard Corpus). The resultant harmonic segments are classified into prototypical chains based on functional categories that are determined by chord sequences as opposed to individual chords. The results and implications of the project are contextualized within recent research on popular music harmony and implicit learning of musical style.

Temperley abstract. In this talk, I present a framework for the analysis of emotional expression in rock music. The talk surveys some of the material in my new book The Musical Language of Rock (Oxford, 2018).

I begin with a two-dimensional model of emotion, well-established in music psychology, with valence (positive versus negative emotion) on one axis and energy (also known as arousal or activity) on the other. Valence is determined mainly by pitch collection (roughly, major versus minor, though there is more to it than that); energy depends on a variety of cues such as tempo, pitch register, loudness, and textural thickness. I then add a third dimension for complexity, or (in experiential terms) tension. Tension is affected by the density of events and also by their expectedness, with faster rhythms and low-probability events being higher in tension. Low-probability events can arise from such things as surprising harmonies, shifts outside of the currently established scale, irregular phrases, and extreme or unusual syncopations.

I then apply this model to the verse-chorus unit (VCU)—a formal section containing a verse and chorus; this is the core element of conventional rock form. We find consistent trajectories across the VCU in all three expressive dimensions—valence, energy, and tension. The chorus tends to be higher in energy than the verse; in terms of valence, many songs show a “sharp-ward” shift between verse and chorus, reflected not only in simple minor-to-major shifts but also in more subtle ways. With regard to tension, however, the peak tends to be in the middle of the VCU, either in the prechorus (if there is one) or in an extension of the verse. I present a number of examples, showing how the current model sheds light on both normative and exceptional cases.

Reading for Music and Language meeting Tuesday April 10th at 3 pm

The music and language CogSci Incubator’s second meeting will be Tuesday April 10th 3-4 pm in ILC N458. The reading is the following (by UMass Linguistics undergrad alum Jonah Katz). The abstract is appended below.

Jonah Katz (2017). Harmonic syntax of the 12-bar blues: a corpus study. Music Perception, 35(2), 165-192. Preprint (LingBuzz). Supplementary materials: data, statistical models, tree graphs, description of modeling.

Abstract. This paper describes the construction and analysis of a corpus of harmonic progressions from 12- bar blues forms included in the jazz repertoire collection The Real Book. A novel method of coding and analyzing such data is developed, using a notion of ‘possible harmonic change’ derived from the corpus and logit mixed-effects regression models describing the difference between actually occurring harmonic changes and possible but non-occurring ones in terms of various sets of theoretical constructs. Models using different sets of constructs are compared using the Bayesian Information Criterion, which assesses the accuracy and complexity of each model. The principal results are that: (1) transitional probabilities are better modeled using root-motion and chord- frequency information than they are using pairs of individual chords; (2) transitional probabilities are better described using a mixture model intermediate in complexity between a bigram and full trigram model; and (3) the difference between occurring and non-occurring chords is more efficiently modeled with a hierarchical, recursive context-free grammar than it is as a Markov chain. The results have implications for theories of harmony, composition, and cognition more generally.

Chang in Cognitive Bag Lunch Weds. April 4 at 12:00

Junha Chang (PBS) will be giving the cognitive brown bag Wednesday April 4 in Tobin 521B, 12:00-1:20).  Title and abstract follow.

Search guidance is sometimes, but not always, adjusted by experience with search discriminability

These experiments show that previous experience with certain types of visual search can influence current search guidance, and explore factors that determine whether these effects of experience arise or not. In a dual-target search task, two subject groups either experienced difficult color discriminability in half of the trials (i.e., hard-discrimination group) or experienced easy discriminability in all trials (i.e., easy-discrimination group). In both experiments, subjects were required to respond whether either of two targets was present or not among distractors. In Experiment 1, the same two colors served as possible target colors for the entire experiment. Fixation rate was high for distractors with colors similar to a target color, and gradually decreased for colors less and less similar to the target color. There was no significant difference between two groups in both eye movement and behavioral results. In Experiment 2, the colors of the two targets were varied from trial to trial in order to increase working memory demand. The hard-discrimination group fixated more distractors with target-dissimilar colors than the easy-discrimination group, suggesting the hard-discrimination group used color information to guide search less than the easy-discrimination group. The results demonstrate that experience of difficult color discriminability discourages observers from guiding attention by color and encourage them to use shape information, but only when working memory load is demanding.

Rudolph on Family Embeddings in CS Thurs. March 29 at noon

who:  Maja Rudolph – Columbia
when: 11:45 A.M. 1:15 P.M., Thursday, March 29th
where: Computer Science Building Rm 150
food: Athena’s pizza

Exponential Family Embeddings

Abstract:  Word embeddings are a powerful approach for capturing semantic similarity among terms in a vocabulary. Exponential family embeddings extend the idea of word embeddings to other types of high-dimensional data such as count data from a recommendation system or real-valued data from neural recordings. Exponential family embeddings have three ingredients; embeddings as latent variables, a predefined conditioning set for each observation called the context, and a conditional likelihood from the exponential family. The embeddings are inferred with a scalable algorithm based on stochastic gradient descent. In this talk, I discuss three highlights of the exponential family embeddings model class: (A) The approximations used for existing methods such as word2vec can be understood as a biased stochastic gradients procedure on a specific type of exponential family embedding model. (B) By choosing different likelihoods from the exponential family we can generalize the task of learning distributed representations to different application domains. (C) Finally, the probabilistic modeling perspective allows us to incorporate structure and domain knowledge in the latent space. With dynamic embeddings, we can study how word usage changes over time and structured embeddings allow us to learn embeddings that vary across related groups of data. Key to the success of our method is that the groups share statistical information and we develop three sharing strategies: dynamic modeling, hierarchical modeling, and amortization.

Bio: As a computer science PhD student at Columbia University, Maja Rudolph studies probabilistic modeling and approximate inference. Together with her advisor David Blei, she works on embedding models and explores how they can be used to find rich, interpretable structure in large data sets. In 2013, she obtained a BS in mathematics from MIT.

www.maja-rita-rudolph.com

Siegler on Numerical Development, Thurs. April 19, 1 pm

Robert Siegler (Carnegie Mellon University http://www.psy.cmu.edu/~siegler/), will speak on “Numerical Development” from 1-2pm in ILC room N400. The talk is sponsored by the Developmental Science Initiative. An abstract follows.

Abstract: In this talk, I attempt to integrate two crucial aspects of numerical development: learning the magnitudes of individual numbers and learning arithmetic. Numerical magnitude development involves gaining increasingly precise knowledge of increasing ranges and types of numbers: from nonsymbolic to small symbolic numbers, from smaller to larger whole numbers, and from whole to rational numbers. One reason why this development is important is that precision of numerical magnitude knowledge is correlated with, predictive of, and causally related to both whole and rational number arithmetic. Rational number arithmetic, however, also poses challenges beyond understanding the magnitudes of the individual numbers. Some of these challenges are inherent; they are present for all learners. Other challenges are culturally contingent; they vary from country to country and classroom to classroom. Our findings indicate that a largely ignored culturally contingent variable, distributions of problems in mathematics textbooks, substantially influences learning of rational number arithmetic. Generating theories and data that help children surmount the challenges of rational number arithmetic is an important goal for numerical development research.

 

Colin Phillips in Linguistics Friday March 30th at 3:30

Colin Phillips (University of Maryland, https://www.colinphillips.net) is presenting “Speaking, understanding, and grammar” in the Department of Linguistics on Friday, March 30th, at 3:30PM, in the  Integrative Learning Center in room N400. The abstract is below.

Abstract: We speak and understand the same language, but it’s generally assumed that language production and comprehension are subserved by separate cognitive systems. So they must presumably draw on a third, task-neutral cognitive system (“grammar”). For this reason, comprehension-production differences are a thorn in the side of anybody who might want to collapse grammar and language processing mechanisms (i.e., me!). In this talk I will explore two linguistic domains from the perspective of comprehension and production. In the case of syntactic categories, I will show that the same underlying mechanisms can have rather different surface effects in comprehension and production. In the case of argument role information, I will show an apparent conflict between comprehension and production. In production, argument role information tightly governs the time course of speech planning. But in comprehension, initial prediction mechanisms seem to be blind to argument role information. I argue that both the similarities and contrasts can be captured under a view in which the same cognitive architecture is accessed based on different information, i.e., sounds for comprehension, messages for production. I will discuss the relation between this and other ways of thinking about comprehension-production relations, drawing on a combination of behavioral and electrophysiological evidence.

Music and Language CogSci Incubator Tues. April 3 at 2:30

The Music and Language CogSci Incubator (https://websites.umass.edu/cogsci/2018/03/10/music-and-language-cogsci-incubator-with-acevedo-and-temperley/) will begin on Tues. April 3rd at 2:30 in ILC N458 with a discussion of David Temperley’s The Musical Language of Rock. Participants are encouraged to bring questions and discussion points that don’t assume everyone has read the book (in other words, please come even if you haven’t even cracked its spine). The book turns out to assume a fair bit of music theory, so clarification questions are very much appropriate (and we might pick something else to discuss the next week). If you are having trouble getting the book on time (OUP ships quickly), please contact Joe Pater.

First Annual UMass Interdisciplinary Neurosciences Conference May 2, 2018

From Paul Katz

I would like to invite you the First Annual UMass Interdisciplinary Neurosciences Conference (https://sites.google.com/view/umass-neurosciences).The University of Massachusetts Amherst has a large and growing community of researchers and engineers who directly address issues relating to the nervous system or whose work is inspired or affected by brain research. This conference is meant to showcase the breadth of research on the UMass campus and in Western Massachusetts highlighting neuroscience research interests thatspan biology, cognition, computation, engineering, medicine, and public health.   

This exciting event will be held on Wednesday May 2, 2018, from 12:30 pm to 7:00 pm on the UMass Amherst campusIt features a half-day symposium with Keynote Speaker, Dr. Wolfram Schultz from Cambridge University and UMass Alumni Speaker Dr. Graeme Davis from the University of California, San Francisco. In addition, there will be talks from researchers in four different colleges at UMass Amherst, followed by a catered reception and poster session.Researchers from UMass and other institutions are invited to attend and present a poster on their work related to the neurosciences. 

Registration is free and open to all career stages.  Please invite faculty, postdocs, students, and staff to attend and present.   

For more information and to register for the conference please go to:

Deadline for poster registration is April 18th. 

We look forward to an engaging and festive day as bring together neurosciences in all of its different forms.  We hope you will join us! 

Sincerely,

Paul S. Katz

4th Annual UMass CogSci Workshop April 20th, 2018

The fourth annual UMass CogSci Workshop will be held in conjunction with Sue Carey’s visit to the campus on April 20th (https://websites.umass.edu/cogsci/2018/01/30/sue-carey-friday-april-20th-at-330/). The workshop will consist of a poster session from 2:15-3:15; please submit your poster info here: https://goo.gl/forms/mt9v6NYU30zywGNe2. As always, previously presented work is allowed, even encouraged (don’t print a new poster if you can use one you already have!).

Dahlstrom-Hakki in Cognitive Brown Bag Weds. March 28th in Tobin 521B from 12-1:20

Ibrahim Dahlstrom-Hakki (Landmark College) will speak on “Teaching Students with Disabilities Online: Language-Based Challenges and Cognitive Access” in the next cognitive brown bag, Wednesday, March 28 in Tobin 521B from 12-1:20. The abstract is below.

Many students with Learning Disabilities (LD), Attention Deficit Hyperactivity Disorder (ADHD), and Autism Spectrum Disorder (ASD) struggle in online learning environments. Online courses tend to place high demands on their language processing and executive function skills. In this NSF funded study (DRL-1420198), we look at some of the barriers facing students with disabilities learning statistics concepts through online discussions. We report on the impact of a Social Presence manipulation on their performance and some of the language-based difficulties involved in assessing their knowledge.