The sudden outbreak of COVID-19 has resulted in tough challenges for the field of
biometrics due to its spread via physical contact, and the regulations of wearing face masks …

Environmental sound classification task (ESC) is still open and challenging. In contrast to
speech, sounds of a specific acoustic event may be produced by a wide variety of sources …

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …

The conventional audio feature extraction methods employed in the audio analysis are
categorized into time-domain and frequency-domain. Recently, a new audio feature …

We propose a novel method for Acoustic Event Detection (AED). In contrast to speech,
sounds coming from acoustic events may be produced by a wide variety of sources …

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 …

We propose a new deep network for audio event recognition, called AENet. In contrast to
speech, sounds coming from audio events may be produced by a wide variety of sources …

Zusammenfassung The INTERSPEECH 2017 Computational Paralinguistics Challenge
addresses three different problems for the first time in research competition under well …

Recognition of natural emotion in speech is a challenging task. Different methods have been
proposed to tackle this complex task, such as acoustic feature brute-forcing or even endto …

Abstract The INTERSPEECH 2018 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …