Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
DOI: 10.1109/icassp.2005.1415113
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Increased Robustness Against Bit Errors for Distributed Speech Recognition in Wireless Environments

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Cited by 3 publications
(7 citation statements)
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“…For a given packet type the reduction in energy consumption with respect to increased delay levels off after 64 frames. This knee coincides with accuracy experiments in Delaney (2004), suggesting that delays beyond 0.64 s have little benefit in terms of improved accuracy and decreased energy consumption. Conversely, data packets in the presence of bit errors will continue to be retransmitted until they are received correctly or a timeout occurs.…”
Section: Energy Consumption Of Dsr Using Bluetooth Networksupporting
confidence: 80%
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“…For a given packet type the reduction in energy consumption with respect to increased delay levels off after 64 frames. This knee coincides with accuracy experiments in Delaney (2004), suggesting that delays beyond 0.64 s have little benefit in terms of improved accuracy and decreased energy consumption. Conversely, data packets in the presence of bit errors will continue to be retransmitted until they are received correctly or a timeout occurs.…”
Section: Energy Consumption Of Dsr Using Bluetooth Networksupporting
confidence: 80%
“…First we use a model for the energy consumption of a single Bluetooth voice or data packet given in Delaney (2004). We then consider the use of Bluetooth power saving modes to reduce the energy consumption during the idle time, similar to the 802.11b scheduling algorithm.…”
Section: Energy Consumption Of Dsr Using Bluetooth Networkmentioning
confidence: 99%
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“…It is worth highlighting that SWV allows the interaction between the language and acoustic models in ASR just like in human perception: the language model has a higher weight in those frames with low SNR or low reliability (Yoma et al, 2003-B). Finally, the concept of uncertainty in noise canceling and weighted recognition algorithms (Yoma et al, 1995;1996-A;1996-B;1997-A;1997-B;1998-A;1998-B;1998-C;1999) have also widely been employed elsewhere in the fields of ASR and SV in later publications (Acero et al, 2006-A;2006-B;Arrowood & Clements, 2004;Bernard & Alwan, 2002;Breton, 2005;Chan & Siu, 2004;Cho et al, 2002;Delaney, 2005;Deng, et al, 2005;Erzin et al, 2005;Gomez et al, 2006;Hung et al, 1998;Keung et al, 2000;Kitaoka & Nakagawa, 2002;Li, 2003;Liao & Gales, 2005 ;Pfitzinger, 2000;Pitsikalis et al, 2006;Tan et al, 2005;Vildjiounaite et al, 2006;Wu & Chen, 2001).…”
mentioning
confidence: 99%