Learn More
—This paper examines a query-by-example approach to spoken term detection in audio files. The approach is designed for low-resource situations in which limited or no in-domain training material is available and accurate word-based speech recognition capability is unavailable. Instead of using word or phone strings as search terms, the user presents the(More)
Constraint Dependency Grammar (CDG) is a constraint-based grammatical formalism that has a weak generative capacity b e y ond context-free grammars and supports a very exible parsing algorithm for working with feature grammarss however, the running time of the parser is O(n 4). Hence, we h a ve i n vesti-gated how to improve the running time of the parser(More)
In this paper we examine an alternative interface for phonetic search, namely query-by-example, that avoids OOV issues associated with both standard word-based and phonetic search methods. We develop three methods that compare query lattices derived from example audio against a standard ngram-based phonetic index and we analyze factors affecting the(More)
In this paper, we describe a prototype spoken language system that loosely integrates a speech recognition component based on hidden Markov models with a constraint dependency grammar (CDG) parser using a word graph to pass sentence candidates between the two modules. This loosely coupled system was able to improve the sentence selection accuracy and(More)
In a randomized, controlled trial of fecal occult blood screening for colorectal cancer, the Minnesota Colon Cancer Control Study carried out 11 annual mail screens in two phases between 1976 and 1992. This long-term compliance record of 15,476 individuals is summarized and related to demographic characteristics as well as to the screening experience of the(More)
This paper addresses the detection of OOV segments in the output of a large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence measures from frame-based word- and phone-posteriors are investigated. Substantial improvement is obtained when posteriors from two systems - strongly constrained (LVCSR) and weakly constrained(More)
The spoken term detection (STD) task aims to return relevant segments from a spoken archive that contain the query terms whether or not they are in the system vocabulary. This paper focuses on pronunciation modeling for Out-of-Vocabulary (OOV) terms which frequently occur in STD queries. The STD system described in this paper indexes word-level and sub-word(More)
Automatic speech recognition (ASR) systems continue to make errors during search when handling various phenomena including noise, pronunciation variation, and out of vocabulary (OOV) words. Predicting the probability that a word is incorrect can prevent the error from propagating and perhaps allow the system to recover. This paper addresses the problem of(More)
This paper details the development of a Hybrid Evolutionary Algorithm for solving the Traveling Salesman Problem (TSP). The strategy of the algorithm is to complement and extend the successful results of a genetic algorithm (GA) using a distance preserving crossover (DPX) by incorporating memory in the form of ant pheromone during the city selection(More)
Data traversing packet networks experience varying delays, resulting in inter-arrival jitter. This can result in degraded performance in real-time multimedia communications applications if the jitter delays are large or unaccounted for in the receiver application. This paper examines modeling and simulation of network jitter delay for real-time multimedia(More)