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In this paper we present a method for echo detection and echo path delay estimation using a pattern recognition approach. We consider the problem of echo detection as attempting to match a speech pattern in the near-end signal to the far-end signal at a given delay. Employing features and techniques that have been successfully used in speech recognition, we define a spectral similarity function based...
It is well known that an over-driven loudspeaker would produce a nonlinearity that limits the performance of an acoustic echo canceler (AEC). In contrast, only a handful of studies have been documented on the effect of speech coding nonlinearity on the AEC. This paper investigates the combined effect of both types of nonlinearities in the network-based AEC framework as opposed to when the AEC is performed...
Compared to the landline network environment, the wireless environment presents new factors affecting ASR performance (or accuracy). Our goal here is to determine these factors, and their relative importance, and then to devise methods to mitigate them. We approach this goal, first, by conducting a set of experiments where we use a state of the art ASR system trained on landline speech data, and then...
Utterance verification (UV) is a process by which the output of a speech recognizer is verified to determine if the input speech actually includes the recognized keyword(s). The output of the speech verifier is a binary decision to accept or reject the recognized utterance based on a UV confidence score. In this paper, we extend the notion of utterance verification by presenting an utterance verification...
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