Earticle

초록

영어

In this paper, an interaural time difference (ITD) estimation method is proposed for binaural speech separation in reverberant environments. First, the auditory signals are represented in the time-frequency (T-F) domain, and the ITD for each T-F bin is then estimated using generalized cross-correlation (GCC) with a maximum likelihood (ML) weighting function. In particular, the ML weighting function is designed to reduce the reverberation effect. Then, a mask is estimated by comparing the estimated ITD with the ITD corresponding to the location of the pre-defined target speech source. Finally, the target speech is separated by applying the mask to the auditory signals. It is shown that the proposed ITD estimation method outperforms a conventional cross-correlation-based ITD estimation method under reverberant conditions in terms of the signal-to-noise ratio (SNR) and signal-to-distortion ratio (SDR) of the separated speech signals.

목차

Abstract
 1. Introduction
 2. Binaural Speech Separation
  2.1. Gammatone Analysis
  2.2. ITD Estimation
  2.3. Mask Estimation
  2.4. Speech Reconstruction
 3. Proposed ML-GCC Based ITD Estimation
 4. Performance Evaluation
  4.1. Database
  4.2. SNR and SDR Measurements
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Ji Hun Park [ Visual Display R&D Office, Samsung Electronics, Gyeonggi-do 443-742, Korea ]
• Seung Ho Choi [ Dept. of Electronic and IT Media Engineering Seoul National University of Science and Technology, Seoul 139-743, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605