In today's era of big‐data, a new computing paradigm beyond today's von‐Neumann
architecture is needed to process these large‐scale datasets efficiently. Inspired by the …

In this paper, the improvements in the recently implemented Kannada speech recognition
system is demonstrated in detail. The Kannada automatic speech recognition (ASR) system …

Aiming at the complexity, nonlinearity and difficulty in modeling of nonlinear system. In this
paper, an improved back-propagation (BP) neural network based on restricted boltzmann …

In this paper, a continuous Kannada speech recognition system is developed under different
noisy conditions. The continuous Kannada speech sentences are collected from 2400 …

Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy
treatment is a challenging task as respiratory motion leads to the motion of the target tumor …

Over the last decade, deep-learning methods have been gradually incorporated into
conventional automatic speech recognition (ASR) frameworks to create acoustic …

Neuromorphic computing has been a candidate to work like human brains to deal with big
data energy-efficiently beyond the von Neumann architecture. As an important part, artificial …

One of the major obstacles in using deep belief network (DBN) is the structure design.
Numerous studies, both empirically and theoretically, show that choosing suitable structure …

Acoustic landmarks are defined as more informative parts of the speech signal and are
proofed to be beneficial in designing more robust speech recognition systems. This work …

This paper aims to investigate how a Persian spoken poetry game, called Mosha'ere, can be
computerized by using a Persian automatic speech recognition system trained with read …