Automated birdsong recognition in complex acoustic environments: a review

N Priyadarshani, S Marsland… - Journal of Avian Biology, 2018 - Wiley Online Library
Conservationists are increasingly using autonomous acoustic recorders to determine the
presence/absence and the abundance of bird species. Unlike humans, these recorders can …

A survey of speaker recognition: Fundamental theories, recognition methods and opportunities

MM Kabir, MF Mridha, J Shin, I Jahan, AQ Ohi - IEEE Access, 2021 - ieeexplore.ieee.org
Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

MFCC-GMM based accent recognition system for Telugu speech signals

K Mannepalli, PN Sastry, M Suman - International Journal of Speech …, 2016 - Springer
Speech processing is very important research area where speaker recognition, speech
synthesis, speech codec, speech noise reduction are some of the research areas. Many of …

A Comprehensive Analysis of Speech Recognition Systems in Healthcare: Current Research Challenges and Future Prospects

Y Kumar - SN Computer Science, 2024 - Springer
The primary purpose of the article is to explore and highlight the benefits of the automatic
speech recognition system in the healthcare sector. Healthcare is only one of the many …

End-to-end multi-modal low-resourced speech keywords recognition using sequential Conv2D nets

P Gambhir, A Dev, P Bansal, DK Sharma - ACM Transactions on Asian …, 2024 - dl.acm.org
Advanced Neural Networks are widely used to recognize multi-modal conversational
speech with significant improvements in accuracy automatically. Significantly, Convolutional …

The Study of Malay's Prosodic Features Impact on Classical Arabic Accents Recognition

NJ Ibrahim, MYI Idris, MYZM Yusoff, R Ramli… - IEEE …, 2023 - ieeexplore.ieee.org
Modeling individual's variation in speech pattern can be challenging in Automatic Speech
Recognition (ASR). In Classical Arabic (CA) language, 20 Quranic accents are permitted for …

Classification techniques for automatic speech recognition (ASR) algorithms used with real time speech translation

HHO Nasereddin, AAR Omari - 2017 Computing Conference, 2017 - ieeexplore.ieee.org
Speech processing is considered to be one of the most important application area of digital
signal processing. Speech recognition and translation systems have consisted into two main …

Multi-modal approach for COVID-19 detection using coughs and self-reported symptoms

K Nguyen-Trong… - Journal of Intelligent & …, 2023 - content.iospress.com
Abstract COVID-19 (Coronavirus Disease of 2019) is one of the most challenging healthcare
crises of the twenty-first century. The pandemic causes many negative impacts on all …

Spiral shape matters: Novel bio-inspired cochlear cepstrum

H Alfalahi, AH Khandoker… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
While machines struggle to cope with acoustical variability and noise, humans show
remarkable robustness to recognize speech content under different conditions of …

Persian speech emotion recognition

M Savargiv, A Bastanfard - 2015 7th conference on information …, 2015 - ieeexplore.ieee.org
Speech emotion recognition is one of the most challenging and the most interesting topics of
the voice processing research in recent years. Performance enhancement and …