다채널 주파수영역 독립성분분석에서 분리된 신호 전력비의 공분산을 이용한 주파수 빈 정렬
Frequency Bin Alignment Using Covariance of Power Ratio of Separated Signals in Multi-channel FD-ICA
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초록
In frequency domain ICA, the frequency bin permutation problem falls off the quality of separated signals. In this paper,we propose a new algorithm to solve the frequency bin permutation problem using the covariance of power ratio of separatedsignals in multi-channel FD-ICA. It makes use of the continuity of the spectrum of speech signals to check if frequency binpermutation occurs in the separated signal using the power ratio of adjacent frequency bins. Experimental results have shownthat the proposed method could fix the frequency bin permutation problem in the multi-channel FD-ICA.
Abstract
In frequency domain ICA, the frequency bin permutation problem falls off the quality of separated signals. In this paper,we propose a new algorithm to solve the frequency bin permutation problem using the covariance of power ratio of separatedsignals in multi-channel FD-ICA. It makes use of the continuity of the spectrum of speech signals to check if frequency binpermutation occurs in the separated signal using the power ratio of adjacent frequency bins. Experimental results have shownthat the proposed method could fix the frequency bin permutation problem in the multi-channel FD-ICA.
참고문헌 (12)
- Haykin, S., "Neural networks and learning machines" (2009), Pearson Prentice Hall
- Cichocki, A., "Adaptive blind signal and image processing (learning algorithms and applications)" (2002), John Wiley & Sons
- Matsuoka, K., "distortion principle for blind source separation", Proceedings of the 41st SICE Annual Conference, 4, pp.2138~2143 (2002)
- Lee, T. W., "Blind separation of delayed and convolved sources", Advances in neural information processing systems, pp.758~764 (1997)
- Sawada, H., "A polar-coordinate based activation function for frequency domain blind source separation", Int. Conf. ICA and BSS, pp.663~668 (2001)
- Sawada, H., "Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation, Audio, Speech, and Language Processing", IEEE Transactions on, 15(5), pp.1592~1604 (2007)
- Kim, T., "Blind source separation exploiting higher-order frequency dependencies", IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 15, pp.70~79 (2007), IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 추쯔하오, "IVA 기반의 2채널 암묵적신호분리에서 주파수빈 뒤섞임문제 해결을 위한 후처리 과정", 말소리와 음성과학, 5(4), pp.211~216 (2013), 한국음성학회[DOI]
- Murata, N, "An approach to blind source separation based on temporal structure of speech signals", Neurocomputing, 41, pp.1~24 (2001)
- Sawada, H., "Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS", ISCAS 2007. IEEE International Symposium on, pp.3247~3250 (2007)
- "Audio Array Toolbox" (2009)[URL]
- "PESQ" (2001)[URL]