In this study, we wanted to discriminate between two groups of participants (patients with
Parkinson's disease and healthy people) by analyzing 3 types of voice recordings. Firstly we …

The use of bioacoustics to identify animal species has huge potential for use in biology and
conservation research. Fields that could be greatly enhanced by the use of bioacoustical …

This paper deals with a project of Automatic Bird Species Recognition Based on Bird
Vocalization. Eighteen bird species of 6 different families were analyzed. At first, human …

Bird species identification is a relevant and time-consuming task for ornithologists and
ecologists. With growing amounts of audio-annotated data, automatic bird classification …

In this study, we wanted to discriminate between two groups of people. The database used
in this study contains 20 patients with Parkinson's disease and 20 healthy people. Three …

Crop damage attributed to pest birds is an important problem, particularly in low-income
countries. This paper describes a prototype system for pest bird detection using a Conv1D …

It is necessary to develop efficient methods for monitoring and recognising bird species that
will help in evaluating the biodiversity of a region. In this paper we present techniques for …

A speaker invariant speech recognition system is proposed by analysing the characteristics
of speech signal. The distinctive features are derived from the speech data using discrete …

Objective: Proper diagnosis and therapy of pathological pronunciation of phonemes play an
important role in modern logopedics. To enhance the efficiency of diagnosis and therapy an …

Automatic bird species recognition method using their voices is presented in this paper. The
selected bird species have been detected by hidden Markov models (HMM) classifier using …