Towards improving the robustness of distributed speech recognition in packet loss

Author:

James Alastair,Milner Ben

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference42 articles.

1. Andrews, K., Heegard, C., Kozen, D., 1997. A theory of interleavers. Technical report 97–1634, Computer Science Department, Cornell University, June, 1997.

2. Arizmendi, I., Rose, R.C., 2004. A distributed framework for enterprise level speech recognition services. In: Proc. ICASSP 2004, Montreal, Canada.

3. Mobile Ad-Hoc Networking;Basagni,2004

4. Low-bitrate distributed speech recognition for packet-based and wireless communication;Bernard;IEEE Trans. Speech Audio Process.,2002

5. Bernard, A., Alwan, A., 2002b. Channel noise robustness for low-bitrate remote speech recognition. In: Proc. ICSLP 2002.

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1. Bridging Probability and Possibility via Bayesian Theorem;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2014-08

2. Reducing bandwidth for robust distributed speech recognition in conditions of packet loss;Speech Communication;2012-09

3. Technology and Implementation;SpringerBriefs in Electrical and Computer Engineering;2012-08-08

4. Robust distributed speech recognition in noise and packet loss conditions;Digital Signal Processing;2010-12

5. MMSE-Based Packet Loss Concealment for CELP-Coded Speech Recognition;IEEE Transactions on Audio, Speech, and Language Processing;2010-08

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