Abstract
It has been stated over and over again, and it remains true at the time of this writing: speech recognition by machines is by far not as robust as recognition by humans. While human listeners apparently face little difficulty ignoring reverberation and background noise, and while healthy-of-hearing listeners can even recognize a speaker in babble noise at 0 dB signal-to-noise power ratio, machine performance degrades quite rapidly if the speech signal is degraded by acoustic environmental noise, reverberation, competing speakers or any other kind of distortion.
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References
Baker, J., Deng, L., Glass, J., Khudanpur, S., Lee, C.H., Morgan, N., O’Shaughnessy, D.: Developments and directions in speech recognition and understanding, part 1. Signal Processing Magazine, IEEE 26(3), 75–80 (2009)
Baker, J., Deng, L., Glass, J., Khudanpur, S., Lee, C.H., Morgan, N., O’Shaughnessy, D.: Developments and directions in speech recognition and understanding, part 2. Signal Processing Magazine, IEEE 26(4), 78–85 (2009)
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© 2011 Springer-Verlag Berlin Heidelberg
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Haeb-Umbach, R., Kolossa, D. (2011). Introduction. In: Kolossa, D., Häb-Umbach, R. (eds) Robust Speech Recognition of Uncertain or Missing Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21317-5_1
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DOI: https://doi.org/10.1007/978-3-642-21317-5_1
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