Explainable artificial intelligence (XAI) characteristics have flexible and multifaceted potential in hate speech detection by deep learning models. Interpreting explaining decisions made complex (AI) models to understand the decision-making process of these model were aims this research. As a part research study, two datasets taken demonstrate using XAI. Data preprocessing was performed clean ...

In manipulation planning works like [Siméon et al., 2000], although two levels have been distinguished, calling “task level” to the higher one, actually everything has been formulated in geometric terms. However, when properly talking about task planning, an abstract symbolic formulation is generally meant. And complex manipulation tasks may require some kind of symbolic structuring in order to...

The human interface technologies and their applications for computer intelligence and human-robot communication will be presented. Speech, vision and tactile sensations will be especially subjected with the recent results of speech signal processing, human motion tracking and humanoid robotics studies. Assistive technologies for supporting handicapped and aged people will be also introduced.

BACKGROUND Extraction of linguistically relevant auditory features is critical for speech comprehension in complex auditory environments, in which the relationships between acoustic stimuli are often abstract and constant while the stimuli per se are varying. These relationships are referred to as the abstract auditory rule in speech and have been investigated for their underlying neural mechan...

Machine learning is the basis of important advances in artificial intelligence such as image and speech recognition and natural language processing. Unlike general machine learning, which uses the same task for training and testing, transfer learning uses the results trained by other tasks to learn a new task. Among the various transfer learning algorithms have been proposed to date, we focus o...

Speech Recognition is an exciting and fun field to get started with Machine Learning Artificial Intelligence. This paper shows how use ASR for educational purposes. We showed convert speech-to-text Real-time recognition using Python. wrote a program that understands what we are saying translates it into written words. translation known as speech recognition. covered work AssemblyAI OpenAI build...

This chapter presents the state-of-the-art automatic speech recognition (ASR) technology, which is a very successful technology in the computer science field, related to multiple disciplines such as the signal processing and analysis, mathematical statistics, applied artificial intelligence and linguistics, and so forth. The unit of essential information used to characterize the speech signal i...