The accuracy and computational complexity of keyword spotting (KWS) systems are heavily
influenced by the choice of audio features in speech signals. This letter introduces a novel …

Automatic speech recognition system is one of the essential ways of interaction with
machines. Interests in speech based intelligent systems have grown in the past few …

Determining and classifying pathological human sounds are still an interesting area of
research in the field of speech processing. This paper explores different methods of voice …

A smart city is a digitized urban area with a collection of electronic sensor nodes for data
collection to maintain the resources and various features efficiently. The smart systems …

Coughing, a common symptom associated with various respiratory problems, is a crucial
indicator for diagnosing and tracking respiratory diseases. Accurate identification and …

Around 42% of the world languages are considered endangered due to the decline in the
number of speakers. MeTILDA (Melodic Transcription in Language Documentation and …

As a physiological signal reflecting the state of muscle activation, surface electromyography
(sEMG) plays a vital role in the assessment of neuromuscular health, human–computer …

Music genre categorization is a fundamental use of sound processing methods in the realm
of music retrieval. Typically, people are responsible for categorizing music genres. Machine …

Human throat and mouth anatomy attribute to the uniqueness of a human voice, speech
patterns or in Mel Scale is called spectral centroids. In general, speeches frequencies differ …

Dysarthria is a disability that causes a disturbance in the human speech system and reduces
the quality and intelligibility of a person's speech. Because of this effect, the normal speech …