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This report describes microphone arrays and parallel signal processing for high-quality sound capture in noisy, reverberant enclosures. The technique incorporates matched-filtering of individual sensors and parallel processing to provide spatial volume selectivity that mitigates effects of noise interference and multipath distortion. Truncated causal(More)
In this paper we describe some experiments on the Aurora 2 noisy digits database. The algorithms that we used can be broadly classified into noise robustness techniques based on a linear-channel model of the acoustic environment such as CDCN [1] and its novel variant termed Alignment-based CDCN (ACDCN, proposed here), and techniques which do not assume any(More)
This paper describes our efforts towards real-time telephony multi-lingual Large Vocabulary Continuous Speech Recognition (LVCSR) system. The trilingual (English, French and Spanish) landline cellular hybrid systems is compared to each of our best monolingual systems. The results are very comparable. The degradation is approximately less than 10%. A HMM(More)
Di erences in arrival times of acoustic waves at multiple sensors permit the computation of source location. The computation depends upon delay estimation between sensor pairs. In severe acoustic environments, the estimates are degraded by reverberation and interfering noise, and some estimates are poor, constituting outlier. This report describes a(More)
This paper describes two separate sets of speaker identi cation experiments. In the rst set of experiments, the speech spectrum is selectively used for speaker identi cation. The results show that the higher portion of the speech spectrum contains more reliable idiosyncratic information on speakers than does the lower portion of equal bandwidth. In the(More)
The adoption of the cloud computing model continues to be dominated by startups seeking to build new applications that can take advantage of the cloud's pay-as-you-go pricing and resource elasticity. In contrast, large enterprises have been slow to adopt the cloud model, partly because migrating legacy applications to the cloud is technically non-trivial(More)