Channel - All Recordings
6/2/2022 5:38:41 PM
Channel Videos
[A08] The RomanText Format: A Flexible and Standard Method for Representing Roman Numerial Analyses
"We provide a technical standard, converter code and example corpora for Roman-numeral analysis, enabling a range of computational, musical, and pedagogical use cases."
presenter ISMIR2019
11/5/2019 8:55:00 AM
[A13] Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations
"In this paper, we apply conditioning learning to source separation and introduce a control mechanism to the standard U-Net architecture. The control mechanism allows multiple instrument separations with just one model without losing performance."
presenter ISMIR2019
11/5/2019 9:20:00 AM
[A14] An inital computational model for music schemata theory
"This paper presents a novel classifier for short polyphonic passages in Classical works that performs musical schemata recognition and prototype extraction with the utilisation of high-level musical constructs and similarity functions."
presenter ISMIR2019
11/5/2019 9:25:00 AM
[B01] Evolution of the Informational Complexity of Contemporary Western Music
"We find evidence for a global, inverted U-shaped relationship between complexity and hedonistic value within Western contemporary music, suggesting that the most popular songs cluster around average complexity values."
presenter ISMIR2019
11/5/2019 12:55:00 PM
[B05] Algorithmic Ability to Predict the Musical Future: Datasets and Evaluation
"We introduce a dataset and evaluation methods to compare music prediction models, used in the MIREX Patterns for Prediction task. We compare three models in our framework, and discuss how to improve evaluation strategies and music prediction models."
presenter ISMIR2019
11/5/2019 1:15:00 PM
[B06] Learning soft-attention models for tempo-invariant audio-sheet music retrieval
"The amount of temporal context given to a CNN is adapted by an additional soft-attention network, enabling the network to react to local and global tempo deviations in the input audio spectrogram."
presenter ISMIR2019
11/5/2019 1:20:00 PM
[B09] Towards Explainable Emotion Recognition in Music: The Route via Mid-level Features
"Explainable predictions of emotion from music can be obtained by introducing an intermediate representation of mid-level perceptual features in the predictor deep neural network."
presenter ISMIR2019
11/5/2019 12:35:00 PM
[B11] Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning
"A CRF model is able to automatically and jointly track beats and microtiming in timekeeper instruments of Afro-Latin American music, in particular samba and candombe. This allows the study of microtiming profiles' dependency on genre and performer."
presenter ISMIR2019
11/5/2019 1:45:00 PM
[C00] Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come
"We reflect on the evolution of music discovery interfaces from using content-based analysis, to metadata, to interaction data, while access and listening habits shift from personal collections to streaming services; and extrapolate future trends."
presenter ISMIR2019
11/6/2019 8:00:00 AM
[C04] Hit Song Prediction: Leveraging Low- and High-Level Audio Features
"We show that for predicting the potential success of a song, both low- and high-level audio features are important. We use a deep and wide neural network to model these features and perform a regression task on the track’s rank in the charts."
presenter ISMIR2019
11/6/2019 8:40:00 AM
[C06] Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony
"This paper integrates rhythm into harmonic syntax models of harmony using a novel grammar of rhythmic phrases."
presenter ISMIR2019
11/6/2019 8:50:00 AM
[C08] Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal Music
"This paper gives a mathematically rigorous description of two conceptually different approaches (one based on morphological operations, the other based on binary time-frequency masks) for detecting stable regions in frequency trajectories."
presenter ISMIR2019
11/6/2019 9:00:00 AM
[C09] The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale
"The AcousticBrainz Genre Dataset allows researchers to explore how the same music pieces are annotated differently by different communities following their own genre taxonomies, and how these differences can be addressed by genre recognition systems."
presenter ISMIR2019
11/6/2019 9:05:00 AM
[C13] Backtracking Search Heuristics for Solving the All-partition Array Problem
"This paper provides search heuristics for use with a greedy backtracking algorithm which solve a hard variant of a set-covering problem found in 12-tone serial music."
presenter ISMIR2019
11/6/2019 9:25:00 AM
[C14] Modeling and Learning Structural Breaks in Sonata Forms
"We trained a neural network with high-level musical feature to find medial caesura in string quartet movements written by Mozart. It finds correctly the MC for a little over half of the corpus."
presenter ISMIR2019
11/6/2019 9:30:00 AM
[D01] Analyzing User Interactions with Music Information Retrieval System: An Eye-tracking Approach
"Eye movement measures can be used in investigating user interactions with MIR systems."
presenter ISMIR2019
11/6/2019 1:30:00 PM
[D03] JosquIntab: A Dataset for Content-based Computational Analysis of Music in Lute Tablature
"We present JosquIntab, a dataset of automatically created transcriptions (MIDI/MEI) of 64 lute intabulations; the creation algorithm; and our evaluation method. In two use cases, we demonstrate its usefulness for both MIR and musicological research.
presenter ISMIR2019
11/6/2019 1:40:00 PM
[D04] A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment System
"This present work is an effort to address the shortage of music datasets designed for rhythmic assessment. A new dataset and baseline rhythmic assessment system are provided in order to support comparative studies about rhythmic assessment."
presenter ISMIR2019
11/6/2019 1:45:00 PM
[D06] Blending Acoustic and Language Model Predictions for Automatic Music Transcription
"Dynamically integrating predictions from an acoustic and a language model with a blending model improves automatic music transcription performance on the MAPS dataset. Results are further improved by operating on 16th-note timesteps rather than 40ms."
presenter ISMIR2019
11/6/2019 1:55:00 PM
[D08] A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction
"A systematic study using various neural models and automatic music transcription systems shows that a cross-entropy-loss CNN improves transduction performance, while an LSTM does not. Using an adversarial set-up also does not yield improvement."
presenter ISMIR2019
11/6/2019 2:05:00 PM
[D09] Learning Similarity Metrics for Melody Retrieval
"We compare different recurrent neural architectures to represent symbolic melodies as continuous vectors. We show how duplet and triplet loss functions can be used to learn distributional representations of symbolic music in an induced melody space."
presenter ISMIR2019
11/6/2019 2:10:00 PM
[D10] Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other
"Multi-task learning helps to improve beat tracking accuracy if additional tempo information is used."
presenter ISMIR2019
11/6/2019 2:15:00 PM
[E01] DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning
"In this work, we propose deep learning based methods for Raga recognition and sequence ranking in Indian classical music. Our approach employs efficient pre-possessing and learns temporal sequences in music data using LSTM Recurrent Neural Networks."
presenter ISMIR2019
11/7/2019 8:30:00 AM
[E03] Convolutional Composer Classification
"This paper investigates the effectiveness simple convolutional models for attributing composers to musical scores, evaluated on a corpus of 2,500 scores authored by a variety of composers spanning the Renaissance era to the early 20th century."
presenter ISMIR2019
11/7/2019 8:40:00 AM
[E04] A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural Notation
"We present a symbolic representation in mensural notation of the anthology Il Lauro Secco. For musicological analysis we encoded the repertoire in **mens and MEI; to support OMR research we present ground truth in agnostic and semantic formats."
presenter ISMIR2019
11/7/2019 8:45:00 AM
[E07] Automatic Assessment of Sight-reading Exercises
"This paper shows the relevancy of different features as well as the contribution of different feature groups to different assessment categories for sight-reading exercises."
presenter ISMIR2019
11/7/2019 9:00:00 AM
[E10] Query by Video: Cross-modal Music Retrieval
"This paper presents a cross-modal distance learning model to retrieve music for videos based on emotion concepts. The emotion constraints on the model allow for efficient training."
presenter ISMIR2019
11/7/2019 9:15:00 AM
[E11] Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings
"This paper describes extensive experiments for CNN-based instrument family recognition systems. In particular, it studies the effect of data normalization, pre-processing, and augmentation techniques on the generalization capability of the models."
presenter ISMIR2019
11/7/2019 9:20:00 AM
[E12] A Bi-Directional Transformer for Musical Chord Recognition
"We propose bi-directional Transformer model based on self-attention mechanism for chord recognition. Through an attention map analysis, we visualize how attention was performed and conclude that the model can effectively capture long-term dependency."
presenter ISMIR2019
11/7/2019 9:25:00 AM
[F02] Can We Listen To It Together?: Factors Influencing Reception of Music Recommendations and Post-Recommendation Behavior
"In addition to the aesthetic qualities of music and the respondent’s taste, expectations regarding the delivery, familiarity, trust in the recommender’s abilities, and the rationale for suggestions affected people’s reception of recommendations."
presenter ISMIR2019
11/7/2019 12:35:00 PM
[F09] humdrumR: a New Take on an Old Approach to Computational Musicology
"Describes a new software toolkit for computational musicology research."
presenter ISMIR2019
11/7/2019 1:10:00 PM
[F16] A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music
"Annotations of the "beat" of complex orchestral music have considerable uncertainty due to disagreement of annotators. A comparison of typical uncertainties to accuracies achieved by transfer of annotations using dynamic time-warping is given."
presenter ISMIR2019
11/7/2019 1:45:00 PM
[F17] Mapping Timing Strategies in Drum Performance
"We present a novel method for the analysis and visualization of microtiming relations between instruments and apply it to drum performances with three different timing profiles (on, pushed and laidback) from a laboratory experiment."
presenter ISMIR2019
11/7/2019 1:50:00 PM
[G01] Approachable Music Composition with Machine Learning at Scale
"We show behind the scenes how the Bach Doodle works, the design, how we sped up the machine learning model Coconet to run in the browser. We are also releasing a dataset of 21.6 million melody and harmonization pairs, along with user ratings.
presenter ISMIR2019
11/8/2019 8:00:00 AM
[G02] Scalable Searching and Ranking for Melodic Pattern Queries
"We focus in this paper on the scalable content-based retrieval problem. We consider the search mechanism with a monophonic query pattern in order to retrieve from a very large collection of scores one or more fragments "similar" to this pattern."
presenter ISMIR2019
11/8/2019 8:10:00 AM
[G07] Leveraging knowledge bases and parallel annotations for music genre translation
"In this paper, we explore the problem of translation of music genres between multiple tag systems, with or without common annotated corpus."
presenter ISMIR2019
11/8/2019 8:35:00 AM
[G10] An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats
"An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats"
presenter ISMIR2019
11/8/2019 8:50:00 AM
[G11] Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style
"StyleRank is a method to rank MIDI files based on their similarity to a style defined by an arbitrary corpus."
presenter ISMIR2019
11/8/2019 8:55:00 AM
Business Meeting
presenter ISMIR2019
11/8/2019 12:45:00 PM
ISMIR - Session B
presenter ISMIR2019
11/5/2019 12:30:00 PM
ISMIR - Session B - 2
presenter ISMIR2019
11/5/2019 12:30:00 PM
ISMIR - Session C
presenter ISMIR2019
11/6/2019 8:00:00 AM
ISMIR - Session E
presenter ISMIR2019
11/7/2019 8:00:00 AM
ISMIR - Session F
presenter ISMIR2019
11/7/2019 12:30:00 PM
ISMIR - Session G
presenter ISMIR2019
11/8/2019 8:00:00 AM
ISMIR - Welcome & Session A
presenter ISMIR2019
11/5/2019 7:45:00 AM
ISMIR - WiMIR & session D
presenter ISMIR2019
11/6/2019 12:30:00 PM
ISMIR Awards, Society meeting & Delft to Montreal
presenter ISMIR2019
11/8/2019 12:30:00 PM
Music & algorithmic responsibilities in practice
presenter ISMIR2019
11/6/2019 12:45:00 PM
Women in Music information Retrieval
presenter ISMIR2019
11/6/2019 12:30:00 PM
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