Automatic speech recognition (ASR) is a very attractive means for human-machine
interaction. The degree of maturity reached by speech recognition technologies during …

The past decade has witnessed a growing interest in deploying automatic speech
recognition (ASR) in communication networks. The networks such as wireless networks …

As voice over IP proliferates, packet loss concealment (PLC) at the receiver has emerged as
an important factor in determining voice quality of service. Through the use of heuristic …

We consider the problem of robust subspace tracking (RST) in burst noise which appears in
some applications in array signal processing and wireless communication. Our approach is …

In this paper, we derive an uncertainty decoding rule for automatic speech recognition
(ASR), which accounts for both corrupted observations and inter-frame correlation. The …

Network-based speech recognition (NSR) and distributed speech recognition (DSR) have
been proposed as solutions to translate speech recognition technologies to mobile …

This paper presents a mixed recovery scheme for robust distributed speech recognition
(DSR) implemented over a packet channel which suffers packet losses. The scheme …

In a distributed speech recognition (DSR) framework, the speech features are quantized and
compressed at the client and recognized at the server. However, recognition accuracy is …

In this paper, we analyze the performance of network speech recognition (NSR) over IP
networks, adapting and proposing new solutions to the packet loss problem for code excited …

This paper presents a feature compensation framework based on minimum mean square
error (MMSE) estimation and stereo training data for robust speech recognition. In our …