Modern Automatic Speech Recognition (ASR) systems are primarily designed to recognize
normal speech. Due to a considerable acoustic mismatch between normal speech and …

Analyzing songs is a problem that is being investigated to aid various operations on music
access platforms. At the beginning of these problems is the identification of the person who …

As a complex ecosystem composed of flora and fauna, the forest has always been
vulnerable to threats. Previous researchers utilized environmental audio collections, such as …

Automatic Speech Recognition (ASR) systems are notorious for their poor performance in
adverse conditions, leading to high sensitivity and low robustness. Due to the costly and …

Extracting the speaker's emotional state from their speech has become an active research
topic lately due to the demand for more human interactive applications. This field of research …

The Transformer model is frequently employed for speech command recognition (SCR)
since it supports parallelization and has internal attention. The high learning speed of this …

In the era of advanced artificial intelligence and human-computer interaction, identifying
emotions in spoken language is paramount. This research explores the integration of deep …

Emotions are considered an essential and fundamental aspect of human conversations. It
serves as a means for opinion expression and for enlightening others about their …

Speech enhancement tasks are methods that improve the quality and intelligibility of noisy
audio signals. To that end, speech enhancement models are trained to distinguish between …

최근 딥러닝 기술은 다양한 분야의 분류 시스템에 활용됨에 따라 점차 딥러닝 모델의 성능을
극대화하기 위한 연구가 활발하게 진행되고 있다. 딥러닝 모델의 성능은 학습 데이터의 양과 …