Abstract
Recently, expansion of mobile communication arise lots of research interests in robust speaker recognition under multi-channel environments. Thus, building robust automatic speaker recognition (ASR) system becomes an urgent and necessary problem. Though glottal information was successfully used in many speaker recognition systems, the spectral variations caused by it were not taken into account under multi-channel environment. In this paper, a method that can utilize this influence, using both long-term and short-term glottal information, is proposed. Through this recuperation, spectral features will behave more robust in text-independent ASR system under channel influences. Our method was applied to the large multi-channel SRMC corpus. The experimental works show promising results.
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Yang, P., Yang, Y., Wu, Z. (2004). Glottal Information Based Spectral Recuperation in Multi-channel Speaker Recognition. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_69
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DOI: https://doi.org/10.1007/978-3-540-30548-4_69
Publisher Name: Springer, Berlin, Heidelberg
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