Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …

Speech recognition is a branch of pattern recog-nition that has been widely implemented in
products. Some well-known products that used speech recognition systems include Google …

Currently, speech recognition datasets are increasingly available freely in various
languages. However, speech recognition datasets in the Indonesian language are still …

The deep neural network technique recently is one of the most state-of-art approaches to
train speech recognition systems. In most cases, the neural network needs a huge audio …

The speech recognition system using deep neural network and large-scale datasets have
had good performance. Indonesian is a language with hundreds of millions of people. Due …

This study presents a speech-based motion planning strategy (SBMP) developed for lower
limb exoskeletons to facilitate safe and compliant human-robot interaction. A speech …

Deep neural networks (DNNs) achieve state-of-the-art performance in many of the tasks
such as image classification, speech recognition, and so on, but the principle of them is like …

The use of Deep Neural Networks in speech recognition development has outperformed the
GMM-HMM technique and has been widely applied in various world languages. One of the …

This research explores the potential of improving low-resource Automatic Speech
Recognition (ASR) performance by leveraging label preprocessing techniques in …

Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …