Speech Processing

Advantages of HMM: HMMs are used because they have proved trenchant in a number of domains. The virtually signifi houset of these is speech recognition, where it forms the home of most commercial systems. They have also proved effective for a number of other tasks, such as helping throw recognition: * each HMM uses only positive information, they scale closely. * they derriere facilitate learning and generalization * Estimation rattling(prenominal) easy. * The parameters can be estimated with relatively high confidence from small samples. Disadvantages: * They make very large supposals about the data: They make the Markovian assumption: that the emission and the transition probabilities depend only on the current disk operating system. This has subtle effects; for example, the fortune of staying in a apt(p) state falls off exponentially which does not function well to many real-world domains; where a linear decrease in prospect in duratio n is appropriate. * Not practical to move multiplex interacting features or long-range dependencies of the observations. * Very strict independence assumptions on the observations. * The number of parameters that need to be set in an HMM is huge. requisite to enumerate all possible observation ages * the count of data that is required to train an HMM is very large.

Alternative of HMM: CRF * A qualified random field (CRF) is a type of discriminative probabilistic model most often used for the enounceing or parsing of nonparallel data, such as natural language textbook or biologi cal sequences. * It is one of the stat! e-of-the-art sequence labeling techniques. * CRF is ground on HMM (Hidden Markov Model) but more powerful than HMM. HMM Vs CRF * CRF uses the conditional luck P(label sequence y | observation sequence x) rather than the mutual probability P(y, x) adopted by HMM. * It specifies the probability of possible label sequences accustomed an observation sequence. * CRF allows arbitrary, non-independent...If you want to get a beat essay, invest it on our website: BestEssayCheap.com

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