Abstract
Robust speech recognition in noisy and reverberant conditions is an important research area in recent years. Here we present a comparative study of several spatial speech separation methods. The main performance metric is word error rate (WER) under different signal-to-noise ratio (SNR) and reverberant conditions. Extensive simulations showed that one technique known as polyaural processing stood out as the best one.
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CITATION STYLE
Zhou, X., Kwan, C., Ayhan, B., Kim, C., Kumar, K., & Stern, R. (2018). A comparative study of spatial speech separation techniques to improve speech recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10878 LNCS, pp. 494–502). Springer Verlag. https://doi.org/10.1007/978-3-319-92537-0_57
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