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08/04/2023
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction
In deep learning research, many melody extraction models rely on redesig...
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08/03/2023
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
Diffusion models have shown promising results in cross-modal generation ...
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05/11/2023
Universal Source Separation with Weakly Labelled Data
Universal source separation (USS) is a fundamental research task for com...
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11/12/2022
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
Contrastive learning has shown remarkable success in the field of multim...
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09/07/2022
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Choral music separation refers to the task of extracting tracks of voice...
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07/14/2022
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments
Existing approaches for generating multitrack music with transformer mod...
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02/02/2022
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
Singing melody extraction is an important problem in the field of music ...
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02/02/2022
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Audio classification is an important task of mapping audio samples into ...
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12/15/2021
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Deep learning techniques for separating audio into different sound sourc...
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11/24/2021
Towards Cross-Cultural Analysis using Music Information Dynamics
A music piece is both comprehended hierarchically, from sonic events to ...
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05/20/2021
Restoring Eye Contact to the Virtual Classroom with Machine Learning
Nonverbal communication, in particular eye contact, is a critical elemen...
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04/13/2021
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
Emotion is a complicated notion present in music that is hard to capture...
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03/17/2021
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets
Federated Generative Adversarial Network (FedGAN) is a communication-eff...
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03/04/2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
There has been a recent surge in adversarial attacks on deep learning ba...
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02/15/2021
Cross-modal Adversarial Reprogramming
With the abundance of large-scale deep learning models, it has become po...
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02/01/2021
Deep Music Information Dynamics
Music comprises of a set of complex simultaneous events organized in tim...
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01/30/2021
Expressive Neural Voice Cloning
Voice cloning is the task of learning to synthesize the voice of an unse...
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10/22/2020
DPD-InfoGAN: Differentially Private Distributed InfoGAN
Generative Adversarial Networks (GANs) are deep learning architectures c...
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08/04/2020
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Drawing an analogy with automatic image completion systems, we propose M...
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02/05/2020
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
Automatic music generation is an interdisciplinary research topic that c...
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06/21/2019
Query-based Deep Improvisation
In this paper we explore techniques for generating new music using a Var...
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05/09/2019
Universal Adversarial Perturbations for Speech Recognition Systems
In this work, we demonstrate the existence of universal adversarial audi...
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04/16/2019
Expediting TTS Synthesis with Adversarial Vocoding
Recent approaches in text-to-speech (TTS) synthesis employ neural networ...
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11/20/2018
The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation
With recent breakthroughs in artificial neural networks, deep generative...
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10/07/2018
Rethinking Recurrent Latent Variable Model for Music Composition
We present a model for capturing musical features and creating novel seq...
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09/06/2018