The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …

Automatic speech recognition (ASR) is one of the ways used to transform acoustic speech
signals into text. Over the last few decades, an enormous amount of research work has been …

Despite recent advancements in deep learning technologies, Child Speech Recognition
remains a challenging task. Current Automatic Speech Recognition (ASR) models require …

Differences in acoustic characteristics between children's and adults' speech degrade
performance of automatic speech recognition systems when systems trained using adults' …

Speech synthesis has come a long way as current text-to-speech (TTS) models can now
generate natural human-sounding speech. However, most of the TTS research focuses on …

For building a successful automatic speech recognition (ASR) engine large training data is
required. It increases training complexity and become impossible for less resource language …

Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

The use of computer-based automated approaches and improvements in lung sound
recording techniques have made lung sound-based diagnostics even better and devoid of …

This study proposes an innovative methodology to enhance the performance of multilingual
Automatic Speech Recognition (ASR) systems by capitalizing on the high semantic similarity …

Speech recognition has been an active field of research in the last few decades since it
facilitates better human–computer interaction. Native language automatic speech …