Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Nowadays speech synthesis or text to speech (TTS), an ability of system to produce human
like natural sounding voice from the written text, is gaining popularity in the field of speech …

The computing power of mobile devices limits the end-user applications in terms of storage
size, processing, memory and energy consumption. These limitations motivate researchers …

Temporal information extraction from social media messages is of critical importance to
several geographical applications. Combined with the characteristics of temporal …

Spatial relation extraction (eg, topological relations, directional relations, and distance
relations) from natural language descriptions is a fundamental but challenging task in …

Suffering from the diversity, complexity, and miniaturization of printed circuit board (PCB)
defects, traditional detection methods are difficult to detect. Despite object detection has …

Pavement disease detection is an important task for ensuring road safety. Manual visual
detection requires a significant amount of time and effort. Therefore, an automated road …

The convolutional neural network (CNN) has made great strides in the area of voiceprint
recognition; but it needs a huge number of data samples to train a deep neural network. In …

Recently, there has been a significant surge of interest in Self-Attention Networks (SANs)
based on the Transformer architecture. This can be attributed to their notable ability for …

Spatial relations are frequently described and used in natural language texts, and relations
play a core role in a range of applications—from supporting geographic information retrieval …