Channel - All Recordings
2-6-2022 17:38:41
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
5-11-2019 08:55:00
[A12] Improving Structure Evaluation Through Automatic Hierarchy Expansion
"We propose a method to expose latent hierarchical content in structural segmentation labels. This results in more accurate comparisons between multi-level segmentations."
presenter ISMIR2019
5-11-2019 09:15:00
[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
5-11-2019 09:20:00
[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
5-11-2019 09:25:00
[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
6-11-2019 08:00:00
[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
6-11-2019 08:40:00
[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
6-11-2019 08:50:00
[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
6-11-2019 09:00:00
[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
6-11-2019 09:05:00
[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
6-11-2019 09:25:00
[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
6-11-2019 09:30:00
[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
6-11-2019 13:30:00
[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
6-11-2019 13:40:00
[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
6-11-2019 13:45:00
[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
6-11-2019 13:55:00
[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
6-11-2019 14:05:00
[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
6-11-2019 14:10:00
[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
6-11-2019 14:15:00
[D11] Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?
"Models of general music similarity are problematic due to the subjective nature of music perception, which is shown and discussed by conducting a user experiment trying to improve the MIREX `Audio Music Similarity' task."
presenter ISMIR2019
6-11-2019 14:20:00
[D14] SUPRA: Digitizing the Stanford University Piano Roll Archive
"This paper describes the digitization process of SUPRA, an online database of historical piano roll recordings, which has resulted in an initial dataset of 478 performances of pianists from the early twentieth century transcribed to MIDI format."
presenter ISMIR2019
6-11-2019 14:35:00
[E02] Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN
"When analyzing musical harmony with a CNN it can be beneficial to: start from a pretrained pitch transcription system using deep layered learning, compute a pitch chroma within the CNN, and promote key invariance through pooling across key class."
presenter ISMIR2019
7-11-2019 08:35:00
[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
7-11-2019 08:40:00
[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
7-11-2019 08:45:00
[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
7-11-2019 09:00:00
[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
7-11-2019 09:15:00
[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
7-11-2019 09:20:00
[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
7-11-2019 09:25:00
[E14] Deep-Rhythm for Global Tempo Estimation in Music
"Estimation of tempo or rhythm description using a new 4D representation of the harmonic series related to tempo used as an input to a convolutional neural network which is trained to estimate the tempo or the rhythm pattern classes."
presenter ISMIR2019
7-11-2019 09:35:00
[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
7-11-2019 12:35:00
[F06] Taking Form: A Representation Standard, Conversion Code, and Example Corpora for Recording, Visualizing, and Studying Analyses of Musical Form
"We provide new specification standards for representing human analyses of musical form, along with corpora of examples, and code for working with them."
presenter ISMIR2019
7-11-2019 12:55:00
[F08] Folded CQT RCNN For Real-time Recognition of Instrument Playing Techniques
"We extend state-of-the-art deep learning models for instrument recognition to the real-time classification of instrument playing techniques. Our models generalize better with a proper taxonomy and an adapted input transform."
presenter ISMIR2019
7-11-2019 13:05:00
[F09] humdrumR: a New Take on an Old Approach to Computational Musicology
"Describes a new software toolkit for computational musicology research."
presenter ISMIR2019
7-11-2019 13:10:00
[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
7-11-2019 13:45:00
[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
7-11-2019 13:50:00
[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
8-11-2019 08:00:00
[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
8-11-2019 08:10:00
[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
8-11-2019 08:35:00
[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
8-11-2019 08:50:00
[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
8-11-2019 08:55:00
ISMIR - Session B
presenter ISMIR2019
5-11-2019 12:30:00
ISMIR - Session B - 2
presenter ISMIR2019
5-11-2019 12:30:00
ISMIR - Session C
presenter ISMIR2019
6-11-2019 08:00:00
ISMIR - Session E
presenter ISMIR2019
7-11-2019 08:00:00
ISMIR - Session F
presenter ISMIR2019
7-11-2019 12:30:00
ISMIR - Session G
presenter ISMIR2019
8-11-2019 08:00:00
ISMIR - Welcome & Session A
presenter ISMIR2019
5-11-2019 07:45:00
ISMIR - WiMIR & session D
presenter ISMIR2019
6-11-2019 12:30:00
ISMIR Awards, Society meeting & Delft to Montreal
presenter ISMIR2019
8-11-2019 12:30:00
Music & algorithmic responsibilities in practice
presenter ISMIR2019
6-11-2019 12:45:00
Women in Music information Retrieval
presenter ISMIR2019
6-11-2019 12:30:00
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