Artificial Neural Networks (ANNs) were created inspired by the neural networks in the
human brain and have been widely applied in speech processing. The application areas of …

Deep learning has now become an integral part of today's world and advancement in the
field of deep learning has gained a huge development. Due to the extensive use and fast …

This book will help readers understand fundamental and advanced statistical models and
deep learning models for robust speaker recognition and domain adaptation. This useful …

Deep learning has provided many advantages including the ability to extract features from
the voice samples and represents the data in a more decisive mode. In speaker …

Understanding and analyzing radar work modes play a key role in electronic support
measure system. Many classifiers, for example those based on convolutional neural network …

Gender and nationality information has not been exploited in large-scale speaker
recognition despite being provided in the popular VoxCeleb1 dataset. This paper explores …

Visual tracking is fundamentally the problem of conditional probability regressing of the
target location in each video frame. Convolutional neural network (CNN) have been …

The x-vector maps segments of arbitrary duration to vectors of fixed dimension using deep
neural network. Combined with the probabilistic linear discriminant analysis (PLDA) …

Deep learning has now become an integral part of today's world and advancement in the
field of deep learning has gained a huge development. Due to the extensive use and fast …