Combining Packet Loss Compensation Methods for Robust Distributed Speech Recognition

This paper presents a combined packet loss compensation system for distributed speech recognition (DSR). Compensation is applied at three stages within the DSR process beginning with interleaving on the terminal device to reduce burst lengths in the received feature vector stream. On the receiver side estimation of missing vectors is applied to reconstruct the feature vector stream prior to recognition. Finally, the decoding process of the recogniser is modified to take into account the varying reliability of these estimated feature vectors. Experiments performed on both the Aurora connected digits task and the WSJCAM0 large vocabulary task show substantial gains in recognition accuracy across a range of packet loss conditions.