Abstract
Computational auditory models describe the transformation from acoustic signals into spike firing rates of the auditory nerves by emulating the signal transductions of the human auditory periphery.The inverse approach is called auralization, which can be useful for many tasks, such as quality measuring of signal transformations or reconstructing the hearing of impaired listeners. There have been few successful attempts to auditory inversion each of which deal with relatively simple auditory models.In recent years more comprehensive auditory models have been developed which simulate nonlinear effects in the human auditory periphery. Since for this kind of models an analytical inversion is not possible, we propose an auralization approach using statistical methods.
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References
Feldbauer, C., Kubin, G., & Kleijn, W. B. (2005). Anthropomorphic coding of speech and audio: A model inversion approach. EURASIP Journal on Applied Signal Processing, 2005, 571618.
Hohmann, V. (2002). Frequency analysis and synthesis using a Gammatone filterbank. Acta Acustica United with Acustica, 88(3), 433–442.
Jepsen, M. L., Dau, T., & Ewert, S. (2006). A model of the normal and impaired auditory system. Academic dissertation, Technical University of Denmark.
Moissl U., & Meyer-Base U. (2000). Decoding of neural firing to improve cochlear implants. Proceedings of SPIE, 4055, 337–348.
Slaney, M., Naar, D., & Lyon, R. F. (1994). Auditory model inversion for sound separation. In Proceedings of IEEE Intnational Conference Acoustics, Speech, Signal Processing, Adelaide.
Sumner, C. J., O’Mard, L. P., Lopez-Poveda, E. A., & Meddis, R. (2002). A revised model of the inner-hair cell and auditory nerve complex. Journal of the Acoustical Society of America, 111(5), 2178–2188.
Acknowledgements
This work was supported by the Collaborative Research Center “Statistical modeling of nonlinear dynamic processes” (SFB 823) of the German Research Foundation (DFG).
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Friedrichs, K., Weihs, C. (2013). Auralization of Auditory Models. In: Giusti, A., Ritter, G., Vichi, M. (eds) Classification and Data Mining. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28894-4_27
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DOI: https://doi.org/10.1007/978-3-642-28894-4_27
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