The construction of speaker-specific acoustic models for automatic speaker recognition is
almost exclusively based on deep neural network-based speaker embeddings. This work …

The rapid momentum of deep neural networks (DNNs) in recent years has yielded state-of-
the-art performance in various machine-learning tasks using speaker identification systems …

With the advances in deep learning, speaker verification has achieved very high accuracy
and is gaining popularity as a type of biometric authentication option in many scenes of our …

The main quality of deep learning over conventional machine learning (ML) techniques
empowers firsthand uses in processing of images, speech recognition, medical imaging …

Tradescantia plant is a complex system that is sensible to environmental factors such as
water supply, pH, temperature, light, radiation, impurities, and nutrient availability. It can be …

Semantic feature combination/parsing issue is one of the key problems in sound event
classification for acoustic scene analysis, environmental sound monitoring, and urban …

With the increasing awareness of fitness, more and more people are choosing to participate
in fitness activities. Yoga, as a form of exercise that improves both physical and mental …

This paper is devoted to the research and comparison of neural network architectures for
recognizing military objects on satellite images. The paper analyzes the current state of the …

Voice is a convenient and popular way to interact with our digital world. Besides translating
speech to text, it is also possible to identify speakers based on their voice profile. To date …

Speaker recognition using i-vector has been replaced by speaker recognition using deep
learning. Speaker recognition based on Convolutional Neural Networks (CNNs) has been …