Channel - All Recordings
2-6-2022 17:38:41
Channel Videos
[A00] Data Usage in MIR History & Future Recommendations
"This paper examines the unique issues of data access that MIR has faced over the last 20 years. We explore datasets used in ISMIR papers, examine the evolution of data access over time, and offer three proposals to increase equity of access to data."
presenter ISMIR2019
5-11-2019 08:15:00
[A06] Cover Detection with Dominant Melody Embeddings
We propose a cover detection method based on vector embedding extraction out of audio dominant melody. This architecture improves state-of-the-art accuracy on large datasets, and scales to query collections of thousands of tracks in a few seconds.
presenter ISMIR2019
5-11-2019 08:45:00
[B00] Music Performance Analysis: A Survey
"Music is a performing art. Even so, the performance itself is only infrequently explicitly acknowledged in MIR research. This paper surveys music performance research with the goal of increasing awareness for this topic in the ISMIR community."
presenter ISMIR2019
5-11-2019 12:30:00
[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
5-11-2019 12:55:00
[B02] Deep Unsupervised Drum Transcription
"DrummerNet is a drum transcriber trained in an unsupervised fashion. DrummerNet learns to transcribe by learning to reconstruct the audio with the transcription estimate. Unsupervised learning + a large dataset allow DrummerNet to be less-biased."
presenter ISMIR2019
5-11-2019 13:00:00
[B03] Estimating Unobserved Audio Features for Target-Based Orchestration
"We show that neural networks can predict features of the sum of 30 or more individual music notes based only on precomputed features of the source notes. This holds promise for computationally expensive applications like target-based orchestration."
presenter ISMIR2019
5-11-2019 13:05:00
[B04] Towards Automatically Correcting Tapped Beat Annotations for Music Recordings
"A framework for correcting beat annotations that were created by humans tapping to the beat of music recordings. It includes an automated correction procedure, visualizations to inspect the correction process, and a new dataset of beat annotations."
presenter ISMIR2019
5-11-2019 13:10:00
[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
5-11-2019 13:15:00
[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
[C02] Augmenting Music Listening Experiences on Voice Assistants
"Using metadata about playlists, artists, and tracks, we present an approach inspired by story generation techniques to dynamically augment music streaming sessions on smart speakers with contextualized transitions."
presenter ISMIR2019
6-11-2019 08:30:00
[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
[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
[C10] Data-Driven Song Recognition Estimation Using Collective Memory Dynamics Models
"In this paper a composite track recognition model based on chart data, YouTube views and Spotify popularity is proposed and is evaluated on real data obtained from a survey conducted in Sweden."
presenter ISMIR2019
6-11-2019 09:10:00
[C12] Learning to Generate Music With Sentiment
"A new LSTM method for generating symbolic music with sentiment."
presenter ISMIR2019
6-11-2019 09:20:00
[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
[D02] A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity
"We propose a cross-scape plot representation to visualize multi-scaled melody similarity between two symbolic music. We evaluate its effectiveness on examples from folk music collections with similarity-based categories and plagiarism cases."
presenter ISMIR2019
6-11-2019 13:35:00
[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
[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
[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
[D13] Microtiming Analysis in Traditional Shetland Fiddle Music
"The analysis of microtiming variations on a corpus of Shetland fiddle music, revealed characteristic patterns in the duration of beats and eighth notes that may be related to the suitability of fiddle music as an accompaniment to dancing."
presenter ISMIR2019
6-11-2019 14:30:00
[E00] 20 Years of Automatic Chord Recognition from Audio
presenter ISMIR2019
7-11-2019 08:00:00
[E13] SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis
"SAMBASET is a large samba de enredo dataset that includes rich metadata, beat and downbeat annotations. It could provide challenges to state-of-the-art algorithms in MIR tasks such as rhythmic analysis, vocal F0 and chord estimation, among others."
presenter ISMIR2019
7-11-2019 09:30:00
[F04] Automatic Music Transcription and Ethnomusicology: a User Study
"After decades of developing Automatic Music Transcription (AMT) systems, this paper conducts a first user study with experienced transcribers to shed light on the potential and drawbacks of incorporating AMT into manual transcription practice."
presenter ISMIR2019
7-11-2019 12:45:00
[F05] LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training
"We use transfer learning to improve multi-instrumental music generation by first pre-training a Transformer on a large heterogeneous music dataset (Lakh MIDI) and subsequently fine tuning it on a domain of interest (NES-MDB)."
presenter ISMIR2019
7-11-2019 12:50:00
[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
[F11] A Holistic Approach to Polyphonic Music Transcription with Neural Networks
"A neural network architecture is trained in an end-to-end manner to transcribe music scores in humdrum **kern format from polyphonic audio files."
presenter ISMIR2019
7-11-2019 13:20:00
[F12] Generalized Metrics for Single-f0 Estimation Evaluation
"We show a variety of limitations in widely used metrics for measuring the accuracy of single-f0 estimation systems, and propose a generalization which considers non-binary voicing decisions and a weighted scoring of pitch estimations."
presenter ISMIR2019
7-11-2019 13:25:00
[F14] The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications
"We present a visual user interface for exploring the cumulative ISMIR proceedings based on locally aligned neighborhood maps containing semantically similar papers. Use this to search for related work or to discover interesing new topics!"
presenter ISMIR2019
7-11-2019 13:35:00
[F15] Pattern Clustering in Monophonic Music by Learning a Non-Linear Embedding From Human Annotations
"Musical pattern discovery can be taken as a clustering task, incorporating manual annotations of repeated patterns as a way of specifying the kinds of patterns desired."
presenter ISMIR2019
7-11-2019 13:40:00
[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
[F18] Improving Singing Aid System for Laryngectomees With Statistical Voice Conversion and VAE-SPACE
"An improved singing aid system for laryngectomees is developed, which converts EL speeches into singing voices according to the melodic information by applying a statistical VC approach to enhance phonetic features and VAE-SPACE to control pitch."
presenter ISMIR2019
7-11-2019 13:55:00
[G06 Quantifying Disruptive Influence in the AllMusic Guide
"What is disruption? Different from being popular, being disruptive usually means bringing something ground-breaking to the table. In this work, we measure and detail how artists are disruptive using a human-curated music corpora."
presenter ISMIR2019
8-11-2019 08:30:00
[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
[G08] Generating Structured Drum Pattern Using Variational Autoencoder and Self-similarity Matrix
"A drum pattern generation model based on VAE-GAN is presented; the proposed method generates symbolic drum patterns given a melodic track. Self-similarity matrix (SSM) is incorporated in the process for encapsulating structural information."
presenter ISMIR2019
8-11-2019 08:40:00
[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
[G16] VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance
"We present an RNN-based model that reads MusicXML and generates human-like performance MIDI. The model employs a hierarchical approach by using attention network and an independent measure-level estimation module. We share our code and dataset."
presenter ISMIR2019
8-11-2019 09:20:00
Awards
presenter ISMIR2019
8-11-2019 12:30:00
Early ISMIR day 1
presenter ISMIR2019
5-11-2019 16:30:00
Early ISMIR day 2
presenter ISMIR2019
6-11-2019 16:30:00
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
MIR redux: Knowledge and realworld challenges, and new interdisciplinary futures
G. Born
6-11-2019 17:00:00
Welcome
presenter ISMIR2019
5-11-2019 07:45:00
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