8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


A Source Model Mitigation Technique for Distributed Speech Recognition Over Lossy Packet Channels

Angel M. Gomez, Antonio M. Peinado, Victoria Sanchez, Antonio J. Rubio

Universidad de Granada, Spain

In this paper, we develop a new mitigation technique for a distributed speech recognition system over IP. We have designed and tested several methods to improve the interpolation used in the Aurora DSR ETSI standard without any significant increase of computational cost at the decoder. These methods make use of the information contained in the data-source, because, in IP networks, unlike in cellular networks, no information is received during packet losses. When a packet loss occurs, the lost information can be reconstructed through estimations from the N nearest received packets. Due to the enormous amount of combinations from previous and next received speech vector sequences, we have developed a methodology that drastically reduces the amount of required estimations.

Full Paper

Bibliographic reference.  Gomez, Angel M. / Peinado, Antonio M. / Sanchez, Victoria / Rubio, Antonio J. (2003): "A source model mitigation technique for distributed speech recognition over lossy packet channels", In EUROSPEECH-2003, 2733-2736.