Distributed speech recognition in the presence of noise and packet loss

This paper investigates the benefits of combining speech enhancement and packet loss mitigation in a Distributed Speech Recognition (DSR) system operating over a packet-based network. The recognition task is connected digits with feature vectors extracted from speech using two different auditory-based front-ends. Feature vectors are vector quantized and combined in pairs for transmission over a channel that is subject to packet loss. Results demonstrate that the combination of speech enhancement and packet loss mitigation techniques can greatly improve the speech recognition performance of a DSR system.