Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
Voice analysis for neurological disorder recognition–a systematic review and perspective on emerging trends
Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …
The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates
BW Schuller, A Batliner, C Bergler, C Mascolo… - ar**
Here we show that Generative Topographic Map** (GTM) can be used to explore the
latent space of the SMILES-based autoencoders and generate focused molecular libraries …
latent space of the SMILES-based autoencoders and generate focused molecular libraries …
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 …
Cryptomining detection in container clouds using system calls and explainable machine learning
The use of containers in cloud computing has been steadily increasing. With the emergence
of Kubernetes, the management of applications inside containers (or pods) is simplified …
of Kubernetes, the management of applications inside containers (or pods) is simplified …
Deep scalogram representations for acoustic scene classification
Spectrogram representations of acoustic scenes have achieved competitive performance for
acoustic scene classification. Yet, the spectrogram alone does not take into account a …
acoustic scene classification. Yet, the spectrogram alone does not take into account a …
A survey of audio classification using deep learning
Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …
to detect and classify various types of audio signals such as speech, music, and …