Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …

It is not always possible to find enough data for deep learning studies. So, various data
augmentation techniques have been developed and thus the success of deep learning …

There are many sounds all around us and our brain can easily and clearly identify them.
Furthermore, our brain processes the received sound signals continuously and provides us …

Rapid urbanization and population growth worldwide seriously challenge building livable
and sustainable cities. This increase causes the increase and diversification of urban …

Environmental noise affects people's lives and poses challenges for urban sound
classification. Traditional algorithms such as Mel frequency cepstral coefficients (MFCCs) …

The bird classifier is a system that is equipped with an area machine learning technology
and uses a machine learning method to store and classify bird calls. Bird species can be …

The research problem addressed in this study is how to effectively combine multimodal data
from imperfect text transcripts and raw audio in a deep framework for automatic speech …

Living beings communicate through speech, which can be analysed to identify words and
sentences by recognizing the flow of spoken utterances. However, background noise will …

Construction site monitoring is an important task to analyze, measure, and monitor the
activities in the construction site. In order to present/develop an automated construction site …

The classification of environmental sounds is important for emerging applications such as
automatic audio surveillance, audio forensics, and robot navigation. Existing techniques …