Earticle

초록

영어

Speech enhancement is the task of improving the quality of the speech by reducing the noise. The magnitude of the short-time Fourier transform(STFT) or spectrogram is widely used for speech enhancement. However, this approach neglects the noisy phase and limits the quality of enhancement. Recently, short-time discrete cosine transform(STDCT) has been introduced to overcome the limitation of the STFT. STDCT is a real value representation; thus, it does not require phase information to reconstruct the audio. This paper compares the two approaches and analyzes the importance of phase information in speech enhancement. Our experiment shows that when trained under similar condition STFT performs better than STDCT in low noise scenarios, however, for high noise situations, STDCT has better performance than STFT.

목차

Abstract
1. Introduction
2. Related Works
3. Methods
3.1. Unet
4. Experiments
4.1. Experimental setup and dataset
4.2. Experimental result
5. Conclusions
Acknowledgement
References

키워드

저자

• Nisan Aryal [ Department of IT Convergence Engineering Gachon University Gyeonggi-do, South Korea ]
• Sung-Hwan Park [ Dept. of Nano Science and Technology Gachon University ]
• Sung-yoon Ahn [ Department of Software Gachon University ]
• Sang-Woong Lee [ Department of Software Gachon University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004