Channel - Session D
2-6-2022 19:17:43
Channel Videos
[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
[D05] Self-Supervised Methods for Learning Semantic Similarity in Music
"By combining self-supervised learning techniques based on contextual prediction with adversarial training we demonstrate it is possible to impose a prior distribution on a learned latent space without degrading the quality of the features."
presenter ISMIR2019
6-11-2019 13:50:00
[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
[D07] Modelling the Syntax of North Indian Melodies with a Generalized Graph Grammar
"Note- and interval-based models of hierarchical structure can be unified with a graph representation. Furthermore, leaps in melodies can be explained by latent structures such as the relative stability of pitches in a mode."
presenter ISMIR2019
6-11-2019 14:00:00
[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
[D12] AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing
"AIST Dance Video Database is the first large-scale database containing original street dance videos with copyright-cleared music. It accelerates research of dance information processing such as dance-motion classification and dancer identification."
presenter ISMIR2019
6-11-2019 14:25:00
[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
[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
[D15] Fast and Flexible Neural Audio Synthesis
"We present an autoregressive WaveRNN model capable of synthesizing realistic audio that closely follows fine-scale temporal conditioning for loudness and fundamental frequency."
presenter ISMIR2019
6-11-2019 14:40:00
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