Though the emotional state does not alter the content of language, it is a major determinant
in human communication, because it provides much more positive feedback. The purpose of …

The use of machine learning and artificial intelligence enables us to create intelligent
systems. Speech emotion recognition system analyzes the speaker's speech to determine …

There are two major questions regarding Environmental Sound Classification (ESC). What is
the best audio recognition framework, and what is the most robust audio feature? For …

Two image-based velocity-inference techniques, cross-correlation time-delay estimation
(CCTDE) and dynamic time warping (DTW), were tested. These techniques are …

Speech recognition systems have been widely used and implemented in telephony systems,
smartphones, security and home automation systems, where an individual's voice needs to …

With the rapid development of the computer industry, artificial intelligence gradually enters
into people's life, which makes people put forward higher requirements for human-computer …

The analysis and classification of audio signals are becoming increasingly important,
especially in the age of communication and dissemination of information through radio …

One of the most challenging subjects in edge device voice recognition is the difficulty of
detecting a given set of words in fluent speech. Convolutional Neural Networks (CNN) are …

Sound signals from different processes of respiratory system are vital indicators of human
health. With the onset of Coronavirus pandemic, the importance of early diagnosis of …

Systems that extract information from speech are common in communications and
automation, where an individual's voice is analysed and recognised by the system to follow …