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02/01/2023
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
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11/14/2022
SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech
Text-to-speech (TTS) models have achieved remarkable naturalness in rece...
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11/07/2022
Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder
Accent plays a significant role in speech communication, influencing und...
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10/11/2022
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
In this paper we propose a novel generative approach, DiffRoll, to tackl...
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06/22/2022
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications
In this paper, we introduce Jointist, an instrument-aware multi-instrume...
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05/30/2022
A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin
Bitcoin, with its ever-growing popularity, has demonstrated extreme pric...
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04/25/2022
Understanding Audio Features via Trainable Basis Functions
In this paper we explore the possibility of maximizing the information r...
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03/06/2022
HEAR 2021: Holistic Evaluation of Audio Representations
What audio embedding approach generalizes best to a wide range of downst...
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02/11/2022
MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control
We present a novel music generation framework for music infilling, with ...
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02/09/2022
Conditional Drums Generation using Compound Word Representations
The field of automatic music composition has seen great progress in rece...
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07/11/2021
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data
Most of the current supervised automatic music transcription (AMT) model...
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06/23/2021
Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds
Intelligent systems are transforming the world, as well as our healthcar...
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04/27/2021
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
The field of automatic music composition has seen great progress in the ...
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04/14/2021
Revisiting the Onsets and Frames Model with Additive Attention
Recent advances in automatic music transcription (AMT) have achieved hig...
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02/26/2021
Underwater Acoustic Communication Receiver Using Deep Belief Network
Underwater environments create a challenging channel for communications....
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10/21/2020
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
In this work, we propose different variants of the self-attention based ...
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10/20/2020
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy
Most of the state-of-the-art automatic music transcription (AMT) models ...
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10/16/2020
Hit Song Prediction Based on Early Adopter Data and Audio Features
Billions of USD are invested in new artists and songs by the music indus...
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10/13/2020
A variational autoencoder for music generation controlled by tonal tension
Many of the music generation systems based on neural networks are fully ...
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09/09/2020
A dataset and classification model for Malay, Hindi, Tamil and Chinese music
In this paper we present a new dataset, with musical excepts from the th...
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07/29/2020
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling
High-level musical qualities (such as emotion) are often abstract, subje...
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07/02/2020
PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding
Generating an image from a provided descriptive text is quite a challeng...
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06/16/2020
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance
We present a controllable neural audio synthesizer based on Gaussian Mix...
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06/16/2020
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface
Information on liquid jet stream flow is crucial in many real world appl...
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01/25/2020
The impact of Audio input representations on neural network based music transcription
This paper thoroughly analyses the effect of different input representat...
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01/25/2020
Regression-based music emotion prediction using triplet neural networks
In this paper, we adapt triplet neural networks (TNNs) to a regression t...
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12/27/2019
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
Converting time domain waveforms to frequency domain spectrograms is typ...
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12/03/2019
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders
We propose a flexible framework that deals with both singer conversion a...
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10/03/2019
Midi Miner – A Python library for tonal tension and track classification
We present a Python library, called Midi Miner, that can calculate tonal...
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10/01/2019
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks
We present an approach to tackle the speaker recognition problem using T...
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09/16/2019
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
The goal of this study is to develop and analyze multimodal models for p...
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09/05/2019
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks
Shallow water environments create a challenging channel for communicatio...
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06/25/2019
A novel music-based game with motion capture to support cognitive and motor function in the elderly
This paper presents a novel game prototype that uses music and motion de...
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06/19/2019
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders
In this paper, we learn disentangled representations of timbre and pitch...
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05/28/2019
Towards robust audio spoofing detection: a detailed comparison of traditional and learned features
Automatic speaker verification, like every other biometric system, is vu...
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05/17/2019
Dance Hit Song Prediction
Record companies invest billions of dollars in new talent around the glo...
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12/12/2018
MorpheuS: generating structured music with constrained patterns and tension
Automatic music generation systems have gained in popularity and sophist...
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12/11/2018
A Functional Taxonomy of Music Generation Systems
Digital advances have transformed the face of automatic music generation...
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12/04/2018
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy
Separating a singing voice from its music accompaniment remains an impor...
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11/29/2018
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec
We explore the potential of a popular distributional semantics vector sp...
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06/28/2017
Modeling Musical Context with Word2vec
We present a semantic vector space model for capturing complex polyphoni...
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06/27/2017
