Data augmentation and deep learning methods in sound classification: A systematic review
The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …
research advancements with respect to small data and the use of data augmentation …
Is speech the new blood? recent progress in ai-based disease detection from audio in a nutshell
In recent years, advancements in the field of artificial intelligence (AI) have impacted several
areas of research and application. Besides more prominent examples like self-driving cars …
areas of research and application. Besides more prominent examples like self-driving cars …
openXBOW--Introducing the Passau open-source crossmodal Bag-of-Words toolkit
M Schmitt, B Schuller - Journal of Machine Learning Research, 2017 - jmlr.org
We introduce openXBOW, an open-source toolkit for the generation of bag-of-words (BoW)
representations from multimodal input. In the BoW principle, word histograms were first used …
representations from multimodal input. In the BoW principle, word histograms were first used …
The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring
Abstract The INTERSPEECH 2017 Computational Paralinguistics Challenge addresses
three different problems for the first time in research competition under well-defined …
three different problems for the first time in research competition under well-defined …
The interspeech 2018 computational paralinguistics challenge: Atypical & self-assessed affect, crying & heart beats
Abstract The INTERSPEECH 2018 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …
different problems for the first time in a research competition under well-defined conditions …
[PDF][PDF] The interspeech 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity
Abstract The INTERSPEECH 2019 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …
different problems for the first time in a research competition under well-defined conditions …
Can machine learning assist locating the excitation of snore sound? A review
In the past three decades, snoring (affecting more than 30% adults of the UK population) has
been increasingly studied in the transdisciplinary research community involving medicine …
been increasingly studied in the transdisciplinary research community involving medicine …
Snoring classified: the Munich-Passau snore sound corpus
Objective Snoring can be excited in different locations within the upper airways during sleep.
It was hypothesised that the excitation locations are correlated with distinct acoustic …
It was hypothesised that the excitation locations are correlated with distinct acoustic …
[HTML][HTML] Prediction of the obstruction sites in the upper airway in sleep-disordered breathing based on snoring sound parameters: a systematic review
Background Identification of the obstruction site in the upper airway may help in treatment
selection for patients with sleep-disordered breathing. Because of limitations of existing …
selection for patients with sleep-disordered breathing. Because of limitations of existing …
A bag of wavelet features for snore sound classification
Snore sound (SnS) classification can support a targeted surgical approach to sleep related
breathing disorders. Using machine listening methods, we aim to find the location of …
breathing disorders. Using machine listening methods, we aim to find the location of …