Channel - Session E
2-6-2022 19:18:27
Channel Videos
[E00] 20 Years of Automatic Chord Recognition from Audio
presenter ISMIR2019
7-11-2019 08:00:00
[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
[E05] The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music
"Human annotated dataset containing beats, downbeats, and structural segmentation for over 900 pop tracks."
presenter ISMIR2019
7-11-2019 08:50:00
[E06] FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing
"The FMP notebooks include open-source Python code, Jupyter notebooks, detailed explanations, as well as numerous audio and music examples for teaching and learning MIR and audio signal processing."
presenter ISMIR2019
7-11-2019 08:55:00
[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
[E08] Supervised Symbolic Music Style Translation Using Synthetic Data
"Synthetic data is useful for learning to efficiently transform musical style."
presenter ISMIR2019
7-11-2019 09:05:00
[E09] Deep Music Analogy Via Latent Representation Disentanglement
"We contribute a representation disentanglement method tailored for music composition, which enables to achieve domain-free music analogy-making."
presenter ISMIR2019
7-11-2019 09:10:00
[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
[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
[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
[E15] Large-vocabulary Chord Transcription Via Chord Structure Decomposition
"In this paper, we propose a new model for large-vocabulary chord recognition by chord structure decomposition with state-of-the-art performance on different metrics."
presenter ISMIR2019
7-11-2019 09:40:00
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