Can haptic stimulation enhance music perception in hearing-impaired listeners?
MD Fletcher - Frontiers in Neuroscience, 2021 - frontiersin.org
Cochlear implants (CIs) have been remarkably successful at restoring hearing in severely-to-
profoundly hearing-impaired individuals. However, users often struggle to deconstruct …
profoundly hearing-impaired individuals. However, users often struggle to deconstruct …
Birdsoundsdenoising: Deep visual audio denoising for bird sounds
Audio denoising has been explored for decades using both traditional and deep learning-
based methods. However, these methods are still limited to either manually added artificial …
based methods. However, these methods are still limited to either manually added artificial …
Machine learning for music genre: multifaceted review and experimentation with audioset
Music genre classification is one of the sub-disciplines of music information retrieval (MIR)
with growing popularity among researchers, mainly due to the already open challenges …
with growing popularity among researchers, mainly due to the already open challenges …
[PDF][PDF] Guitar Tablature Estimation with a Convolutional Neural Network.
Guitar tablature is a popular notation guitarists use to learn and share music. As it stands,
most tablatures are created by an experienced guitarist taking the time and effort to annotate …
most tablatures are created by an experienced guitarist taking the time and effort to annotate …
Web-based music genre classification for timeline song visualization and analysis
JR Castillo, MJ Flores - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a web application that retrieves songs from YouTube and classifies
them into music genres. The tool explained in this study is based on models trained using …
them into music genres. The tool explained in this study is based on models trained using …
Analyzing the potential of pre-trained embeddings for audio classification tasks
In the context of deep learning, the availability of large amounts of training data can play a
critical role in a model's performance. Recently, several models for audio classification have …
critical role in a model's performance. Recently, several models for audio classification have …
A comparison of deep learning inference engines for embedded real-time audio classification
Recent advancements in deep learning have shown great potential for audio applications,
improving the accuracy of previous solutions for tasks such as music transcription, beat …
improving the accuracy of previous solutions for tasks such as music transcription, beat …
Techniques improving the robustness of deep learning models for industrial sound analysis
DS Johnson, S Grollmisch - 2020 28th European Signal …, 2021 - ieeexplore.ieee.org
The field of Industrial Sound Analysis (ISA) aims to automatically identify faults in production
machinery or manufactured goods by analyzing audio signals. Publications in this field have …
machinery or manufactured goods by analyzing audio signals. Publications in this field have …
Predominant instrument recognition based on deep neural network with auxiliary classification
Instrument recognition plays very important roles in music information retrieval, sound
source separation and automatic music transcription. However, due to different playing …
source separation and automatic music transcription. However, due to different playing …
[HTML][HTML] JSD: A dataset for structure analysis in jazz music
Given a music recording, music structure analysis aims at identifying important structural
elements and segmenting the recording according to these elements. In jazz music, a …
elements and segmenting the recording according to these elements. In jazz music, a …