Speaker recognition for different languages is still a big challenge for researchers. The
accuracy of identification rate (IR) is great issue, if the utterance of speech sample is less …

In recent years, speaker verification has been extensively explored and has significantly
improved its effectiveness. It analyzes the voiceprint characteristics of speakers and finds out …

This study presents a compact-points discrete cosine transform (DCT) hardware accelerator
for-points Mel-scale Frequency Cepstral Coefficients (MFCC). The main contributions of this …

With the development of artificial intelligence, the real-time feature extraction of acoustic
signals is required in a wide variety of applications, such as keyword spotting and speech …

The research study presents an architecture of HumanRobot Interaction (HRI) based
Artificial Conversational Entity integrated with speaker recognition ability to avail modern …

Neuromorphic devices have diverse potential applications, such as brain-inspired
computers and promising high-performance arithmetic systems with power saving …

This research focuses on solutions for executing Neural Networks (NNs) on field
programmable gate arrays (FPGAs) of comparably limited power as efficiently as possible …

The aim of this chapter is to classify normal and extra systole heart sounds using artificial
intelligence methods. Initially, both heart sounds have been passed from Butterworth …

This paper presents a low-error, low-area FPGA-based hardware logarithm generator for
digital signal processing systems which require high-speed, real time logarithm operations …

This paper presents a low-error, low-area FPGA-based hardware logarithm generator for
digital signal processing systems which require high-speed, real time logarithm operations …