A Near-Real Time Automatic Audio Classification: Special Case for Hacivat and Karagoz Shadow Play

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dc.contributor.authorSevdi, Onur Eren
dc.contributor.authorTopaloglu, Yakup
dc.contributor.authorKayaarma, Selma Yilmazyildiz
dc.date.accessioned2026-02-08T15:11:11Z
dc.date.available2026-02-08T15:11:11Z
dc.date.issued2025
dc.departmentBursa Teknik Üniversitesi
dc.description2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025 -- 2025-09-10 through 2025-09-12 -- Bursa -- 214381
dc.description.abstractSpeaker identification plays a key role in various applications, such as security, biometrics, and human-computer interaction. As a specific task under the domain of audio classification, speaker identification aims to recognize individuals based on their voice characteristics. This paper presents a comparison between three widely adopted neural network architectures and evaluates their performance as classifiers for a real-time speaker identification system. A custom-collected dataset was gathered using publicly shared YouTube videos of a single speaker imitating multiple characters from traditional Turkish shadow play Karagoz and Hacivat. Both MFCC and Log-Mel filterbank energy features were used during the training of CRNN, 2D-CNN and Bi-LSTM architectures. Among these architectures, 2D-CNN achieved the highest accuracy with a value of 94.4% and was approximately 2.7 times faster than its closest follower Bi-LSTM during real-time testing on RTX 4070 Super GPU. © 2025 IEEE.
dc.identifier.doi10.1109/ASYU67174.2025.11208275
dc.identifier.isbn9798331597276
dc.identifier.scopus2-s2.0-105022444330
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU67174.2025.11208275
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5295
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_KA_20260207
dc.subjectAudio Classification
dc.subjectBidirectional Long Short Term Memory
dc.subjectConvolutional Neural Networks
dc.subjectConvolutional Recurrent Neural Networks
dc.subjectSpeaker Identification
dc.titleA Near-Real Time Automatic Audio Classification: Special Case for Hacivat and Karagoz Shadow Play
dc.typeConference Object

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