منابع مشابه
Speech Recognition: Key Word Spotting through Image Recognition
The problem of identifying voice commands has always been a challenge due to the presence of noise and variability in speed, pitch, etc. We will compare the efficacies of several neural network architectures for the speech recognition problem. In particular, we will build a model to determine whether a one second audio clip contains a particular word (out of a set of 10), an unknown word, or si...
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Spontaneous conversational phone-call speech databases are di cult to recognize because of the large variation of speech rates, of pronunciations as well as noises, of acoustic degradations from the telephone channel, and of an unpredictable non-grammatical language structure including many random phenomena. Each cause of misrecognition can be addressed separately; however there is still no sat...
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Several variations on algorithms for dynamic time warping have been proposed for speech processing applications. In this paper two general algorithms that have been proposed for word spotting and connected word recognition are studied. These algorithms are called the fixed range method and the local minimum method. The characteristics and properties of these algorithms are discussed. It is show...
متن کاملA Word-spotting Hypothesis Testing for Accepting/Rejecting Continuous Speech Recognition Output
The word rejection problem in speech recognition is formulated in a framework of word-spotting, where a spotted word is verified through a binary, acceptance/rejection decision. A generalized word posterior probability (GWPP), used as the sole confidence measure, is computed in a word graph, via the forward-backward algorithm or in an N-best list, using string likelihoods. The GWPP is further e...
متن کاملGaussian subtraction (GS) algorithms for word spotting in continuous speech
In this paper, a novel approach for the design of cohort models for word spotting in continuous speech is presented. This new approach is based on modifying the probability density function of a conventional filler so that regions in the feature space that are related to the keyword will be reduced or removed. By modifying these regions, the filler and keyword models become more orthogonal in t...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 1999
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.11.3_45