Speech enhancement has substantial interest in the utilization of speaker identification,
video-conference, speech transmission through communication channels, speech-based …

Automatic speech recognition (ASR) has been under the scrutiny of researchers for many
years. Speech Recognition System is the ability to listen what we speak, interpreter and …

This article details the implementation of a novel passive structural health monitoring
approach for damage detection in wind turbine blades using airborne sound. The approach …

Stuttering speech recognition is a well-studied concept in speech signal processing.
Classification of speech disorder is the main focus of this study. Classification of stuttered …

In order to improve the limitations of manual features and poor feature semantics in the
feature extraction process of existing content-based encrypted speech retrieval methods …

Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …

The gunshot event localization and classification have numerous real-time applications. The
study is also useful for steering the video camera and guns in the directed direction. This …

Automatic Speech Recognition, which consists of determining the audio signal components
that are useful for identifying linguistic content while removing background noise and …

The present work proposes audio-visual speech recognition with the use of Gammatone
frequency cepstral coefficient (GFCC) and optical flow (OF) features with Hindi speech …

Speaker verification (SV) systems involve mainly two individual stages: feature extraction
and classification. In this paper, we explore these two modules with the aim of improving the …