Music deep learning: deep learning methods for music signal processing—a review of the state-of-the-art
The discipline of Deep Learning has been recognized for its strong computational tools,
which have been extensively used in data and signal processing, with innumerable …
which have been extensively used in data and signal processing, with innumerable …
The internet of sounds: Convergent trends, insights, and future directions
Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …
to convergent research trends that bring together the field of sound and music Computing …
[HTML][HTML] An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction
The domain of spatial audio comprises methods for capturing, processing, and reproducing
audio content that contains spatial information. Data-based methods are those that operate …
audio content that contains spatial information. Data-based methods are those that operate …
Giantmidi-piano: A large-scale midi dataset for classical piano music
Symbolic music datasets are important for music information retrieval and musical analysis.
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …
What all do audio transformer models hear? probing acoustic representations for language delivery and its structure
In recent times, BERT based transformer models have become an inseparable part of
the'tech stack'of text processing models. Similar progress is being observed in the speech …
the'tech stack'of text processing models. Similar progress is being observed in the speech …
Deep learning for audio-based music classification and tagging: Teaching computers to distinguish rock from bach
Over the last decade, music-streaming services have grown dramatically. Pandora, one
company in the field, has pioneered and popularized streaming music by successfully …
company in the field, has pioneered and popularized streaming music by successfully …
Self-aware artificial auditory neuron with a triboelectric sensor for spike-based neuromorphic hardware
Auditory organs can detect and process sounds with the help of the organ of Corti located in
the cochlea. The energy efficiency of biological processing for an input sound signal is very …
the cochlea. The energy efficiency of biological processing for an input sound signal is very …
A comparison of audio signal preprocessing methods for deep neural networks on music tagging
In this paper, we empirically investigate the effect of audio preprocessing on music tagging
with deep neural networks. We perform comprehensive experiments involving audio …
with deep neural networks. We perform comprehensive experiments involving audio …
[HTML][HTML] Domestic cat sound classification using learned features from deep neural nets
YR Pandeya, D Kim, J Lee - Applied Sciences, 2018 - mdpi.com
Featured Application Domestic cats are ancient human pet animal that communicate
through generating sounds. Automatic animal sound classification creates a better human …
through generating sounds. Automatic animal sound classification creates a better human …
What do audio transformers hear? probing their representations for language delivery & structure
Transformer models across multiple domains such as natural language processing and
speech form an unavoidable part of the tech stack of practitioners and researchers alike. Au …
speech form an unavoidable part of the tech stack of practitioners and researchers alike. Au …