Abstract
This work deals with the packet loss problem in a Distributed Speech Recognition architecture. A packet loss simulation model is first proposed in order to simulate different channel degradation conditions. In these conditions, the performance of our continuous French speech recognition system is evaluated for packets containing different numbers of speech feature vectors. Several reconstruction strategies, to recover lost information, are proposed and evaluated. The results first confirm the intuitive fact that the word error rate obviously increases with the size of the lost packets and with the channel degradation level. However, it is shown that simple reconstruction strategies allow to recover acceptable performance. The most efficient ones are those using interleaving technique to distribute the speech information among packets, combined with interpolation methods to estimate lost acoustic features.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.