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[HTML][HTML] 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 …
A survey of emergencies management systems in smart cities
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …
interact with each other. As most people now live in urban areas, cities are experiencing …
Lung disease recognition methods using audio-based analysis with machine learning
The use of computer-based automated approaches and improvements in lung sound
recording techniques have made lung sound-based diagnostics even better and devoid of …
recording techniques have made lung sound-based diagnostics even better and devoid of …
Synthesizing dysarthric speech using multi-speaker tts for dysarthric speech recognition
Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …
through slow, uncoordinated control of speech production muscles. Automatic Speech …
Designing virtuous sex robots
We propose that virtue ethics can be used to address ethical issues central to discussions
about sex robots. In particular, we argue virtue ethics is well equipped to focus on the …
about sex robots. In particular, we argue virtue ethics is well equipped to focus on the …
[HTML][HTML] Deep neural network for gender-based violence detection on Twitter messages
The problem of gender-based violence in Mexico has been increased considerably. Many
social associations and governmental institutions have addressed this problem in different …
social associations and governmental institutions have addressed this problem in different …
Gender biases in the training methods of affective computing: Redesign and validation of the Self-Assessment Manikin in measuring emotions via audiovisual clips
C Sainz-de-Baranda Andujar… - Frontiers in …, 2022 - frontiersin.org
Audiovisual communication is greatly contributing to the emerging research field of affective
computing. The use of audiovisual stimuli within immersive virtual reality environments is …
computing. The use of audiovisual stimuli within immersive virtual reality environments is …
[HTML][HTML] Enhanced Indonesian ethnic speaker recognition using data augmentation deep neural network
Speaker Recognition is a challenging topic in Speech Processing research area. The
various models proposed have succeeded in achieving a fairly high level of accuracy in this …
various models proposed have succeeded in achieving a fairly high level of accuracy in this …
Accurate synthesis of dysarthric speech for ASR data augmentation
Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …
through slow, uncoordinated control of speech production muscles. Automatic Speech …
Gender-Driven English Speech Emotion Recognition with Genetic Algorithm
L Yue, P Hu, J Zhu - Biomimetics, 2024 - mdpi.com
Speech emotion recognition based on gender holds great importance for achieving more
accurate, personalized, and empathetic interactions in technology, healthcare, psychology …
accurate, personalized, and empathetic interactions in technology, healthcare, psychology …