research
∙
09/15/2023
MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response
Large Language Models (LLMs) have shown immense potential in multimodal ...
share
research
∙
07/19/2023
From West to East: Who can understand the music of the others better?
Recent developments in MIR have led to several benchmark deep learning m...
research
∙
07/11/2023
On the Effectiveness of Speech Self-supervised Learning for Music
Self-supervised learning (SSL) has shown promising results in various sp...
research
∙
06/29/2023
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...
research
∙
06/18/2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
In the era of extensive intersection between art and Artificial Intellig...
research
∙
05/31/2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Self-supervised learning (SSL) has recently emerged as a promising parad...
research
∙
12/05/2022
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
The deep learning community has witnessed an exponentially growing inter...
research
∙
10/27/2022
Learning Music Representations with wav2vec 2.0
Learning music representations that are general-purpose offers the flexi...
research
∙
08/25/2022
Contrastive Audio-Language Learning for Music
As one of the most intuitive interfaces known to humans, natural languag...
research
∙
07/15/2022
Anomalous behaviour in loss-gradient based interpretability methods
Loss-gradients are used to interpret the decision making process of deep...
research
∙
04/10/2022
Deep Conditional Representation Learning for Drum Sample Retrieval by Vocalisation
Imitating musical instruments with the human voice is an efficient way o...
research
∙
04/08/2022
Exploring Transformer's potential on automatic piano transcription
Most recent research about automatic music transcription (AMT) uses conv...
research
∙
02/03/2022
Improving Lyrics Alignment through Joint Pitch Detection
In recent years, the accuracy of automatic lyrics alignment methods has ...
research
∙
12/08/2021
Learning music audio representations via weak language supervision
Audio representations for music information retrieval are typically lear...
research
∙
10/09/2021
An evaluation of data augmentation methods for sound scene geotagging
Sound scene geotagging is a new topic of research which has evolved from...
research
∙
10/08/2021
Joint Scattering for Automatic Chick Call Recognition
Animal vocalisations contain important information about health, emotion...
research
∙
08/19/2021
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations
Non-intrusive speech quality assessment is a crucial operation in multim...
research
∙
07/28/2021
Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes
This paper proposes a deep convolutional neural network for performing n...
research
∙
04/24/2021
MusCaps: Generating Captions for Music Audio
Content-based music information retrieval has seen rapid progress with t...
research
∙
04/14/2021
Revisiting the Onsets and Frames Model with Additive Attention
Recent advances in automatic music transcription (AMT) have achieved hig...
research
∙
01/03/2021
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation
This paper addresses the problem of domain adaptation for the task of mu...
research
∙
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 ...
research
∙
10/15/2020
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark
The Automatic Speaker Verification Spoofing and Countermeasures Challeng...
research
∙
05/15/2020
Reliable Local Explanations for Machine Listening
One way to analyse the behaviour of machine learning models is through l...
research
∙
05/13/2020
Memory Controlled Sequential Self Attention for Sound Recognition
In this paper we investigate the importance of the extent of memory in s...
research
∙
04/15/2020
Musical Features for Automatic Music Transcription Evaluation
This technical report gives a detailed, formal description of the featur...
research
∙
03/22/2020
Audio Impairment Recognition Using a Correlation-Based Feature Representation
Audio impairment recognition is based on finding noise in audio files an...
research
∙
10/22/2019
Modeling plate and spring reverberation using a DSP-informed deep neural network
Plate and spring reverberators are electromechanical systems first used ...
research
∙
07/11/2019
Polyphonic Sound Event and Sound Activity Detection: A Multi-task approach
Polyphonic Sound Event Detection (SED) in real-world recordings is a cha...
research
∙
07/04/2019
Adversarial Attacks in Sound Event Classification
Adversarial attacks refer to a set of methods that perturb the input to ...
research
∙
05/15/2019
A general-purpose deep learning approach to model time-varying audio effects
Audio processors whose parameters are modified periodically over time ar...
research
∙
05/06/2019
Investigating kernel shapes and skip connections for deep learning-based harmonic-percussive separation
In this paper we propose an efficient deep learning encoder-decoder netw...
research
∙
05/02/2019
City classification from multiple real-world sound scenes
The majority of sound scene analysis work focuses on one of two clearly ...
research
∙
04/23/2019
Towards joint sound scene and polyphonic sound event recognition
Acoustic Scene Classification (ASC) and Sound Event Detection (SED) are ...
research
∙
04/21/2019
GAN-based Generation and Automatic Selection of Explanations for Neural Networks
One way to interpret trained deep neural networks (DNNs) is by inspectin...
research
∙
04/09/2019
Ensemble Models for Spoofing Detection in Automatic Speaker Verification
Detecting spoofing attempts of automatic speaker verification (ASV) syst...
research
∙
11/15/2018
Audio-based identification of beehive states
The absence of the queen in a beehive is a very strong indicator of the ...
research
∙
11/14/2018
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
In this work, we aim to explore the potential of machine learning method...
research
∙
10/30/2018
SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification
Acoustic Scene Classification (ASC) is one of the core research problems...
research
∙
09/26/2018
An extensible cluster-graph taxonomy for open set sound scene analysis
We present a new extensible and divisible taxonomy for open set sound sc...
research
∙
05/22/2018
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing
The second Automatic Speaker Verification Spoofing and Countermeasures c...
research
∙
04/30/2018
Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting
In this paper, we show empirical evidence on how to construct the optima...
research
∙
11/15/2017
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results
As part of the 2016 public evaluation challenge on Detection and Classif...
research
∙
08/07/2015
An End-to-End Neural Network for Polyphonic Piano Music Transcription
We present a supervised neural network model for polyphonic piano music ...
research
∙
01/31/2015