Over the past decades, a particular focus is given to research on machine learning
techniques for speech processing applications. However, in the past few years, research …

Speech processing plays a crucial role in many signal processing applications, while the
last decade has bought gigantic evolution based on machine learning prototype. Speech …

Building a large vocabulary continuous speech recognition (LVCSR) system requires a lot of
hours of segmented and labelled speech data. Arabic language, as many other low …

In this paper, use of Viterbi-based algorithm and spectral transition measure (STM)-based
algorithm for the task of speech data labeling is being attempted. In the STM framework, we …

Languages are used as a tool for human to communicate their needs to one another. To be
able to use any language human beings need time to learn to achieve understanding. The …

There are many popular algorithms to recognize the human voice. The good algorithm not
only results the high recognition accuracy, but also robust to noises. Several experiments …

With the negative impact of noise pollution on human health and well-being, distributed
wireless sensor network with edge devices like Jetson Nano as the centre of the network for …

Важнейшим этапом в задачах диагностики и прогнозирования функцинального
состояния и профессиональной надежности операторов сложных человеко-машинных …

从音频信号中提取录音设备特征是司法比较研究和音频取证的前沿课题. 由于录音设备识别技术
受到环境, 语义, 说话人等因素干扰, 需要攻克的难题较多, 国内外的研究还处于起步阶段 …

Анотація Кухарічева КА Підвищення робастності систем автоматичного розпізнавання
мови до дії завад.–Кваліфікаційна робота на правах рукопису. Дисертація на здобуття …