Channel - Session C
2-6-2022 19:16:46
Channel Videos
[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
[C01] Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
"The paper introduces a new method of obtaining a consistent singing voice representation from both monophonic and mixed music signals. Also, it presents a simple music mashup pipeline to create a large synthetic singer dataset."
presenter ISMIR2019
6-11-2019 08:25:00
[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
[C03] Coupled Recurrent Models for Polyphonic Music Composition
"This paper investigates automatic music composition via parameterized, probabilistic models of scores. We consider ways to exploit the structure of music to strengthen these models, borrowing ideas from convolutional and recurrent neural networks."
presenter ISMIR2019
6-11-2019 08:35:00
[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
[C05] Da-TACOS: A Dataset for Cover Song Identification and Understanding
"This work aims to understand the links among cover songs with computational approaches and to improve reproducibility of Cover Song Identification task by providing a benchmark dataset and frameworks for comparative algorithm evaluation."
presenter ISMIR2019
6-11-2019 08:45:00
[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
[C07] Learning to Traverse Latent Spaces for Musical Score Inpainting
"Recurrent Neural Networks can be trained using latent embeddings of a Variational Auto-Encoder-based model to to perform interactive music generation tasks such as inpainting."
presenter ISMIR2019
6-11-2019 08:55:00
[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
[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
[C11] Towards Interpretable Polyphonic Transcription with Invertible Neural Networks
"Invertible Neural Networks enable direct interpretability of the latent space."
presenter ISMIR2019
6-11-2019 09:15:00
[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
[C15] Auto-adaptive Resonance Equalization using Dilated Residual Networks
"We propose a method to fully automate resonance equalization in mixing and mastering musical audio. The method predicts the resonance attenuation factor using neural networks trained and evaluated on ground truth collected from sound engineers."
presenter ISMIR2019
6-11-2019 09:35:00
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