Detection of human emotions by analyzing the speech patterns in the audio signals has
various applications including effective human-computer interaction, evaluation or …

We study a light-weight implementation of keyword spotting (KWS) for voice command and
control, that can be implemented on an in-memory computing (IMC) unit with same accuracy …

Authentication technologies based on biometrics, such as speaker recognition, are attracting
more and more interest thanks to the elevated level of security offered by these …

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 …

In this paper, an FPGA-based Mel Frequency Cepstral Coefficient (MFCC) IP core for
speech recognition is presented. The implementation results on FPGA show that the …

This paper aims, to develop an FPGA design for speech processing using a hardware
description language (HDL). The necessary modules used in the implementation of the …

Speaker recognition technique is significant for identification applications. X-vectors, a
robust text-independent speaker recognition system, spends plenty of time on extracting …