Description : Which approach to speech recognition avoids the problem caused by the differences in the way words are pronounced according to context? a) continuous speech recognition b) connected word recognition c) isolated word recognition d) speaker-dependent recognition
Last Answer : c) isolated word recognition
Description : Which specifies the prior probability of each utterance? a) Sound model b) Model c) Language model
Last Answer : c) Language model
Description : What is the extraction of the meaning of utterance? a) Syntactic b) Semantic c) Pragmatic d) None of the mentioned
Last Answer : b) Semantic
Description : For speech understanding systems to gain widespread acceptance in office automation, they must feature ____________ a) speaker independence b) speaker dependence c) isolated word recognition d) all of the mentioned
Last Answer : a) speaker independence
Description : Speech Segmentation is a subtask of Speech Recognition. a) True b) False
Last Answer : a) True
Description : What kind of signal is used in speech recognition? a) Electromagnetic signal b) Electric signal c) Acoustic signal d) Radar
Last Answer : c) Acoustic signal
Description : What kind of perception is used in printing? a) Optical character recognition b) Speech recognition c) Perception d) None of the mentioned
Last Answer : a) Optical character recognition
Description : Where does the Hidden Markov Model is used? a) Speech recognition b) Understanding of real world c) Both Speech recognition & Understanding of real world d) None of the mentioned
Last Answer : a) Speech recognition
Description : When talking to a speech recognition program, the program divides each second of your speech into 100 separate __________ a) Codes b) Phonemes c) Samples d) Words
Last Answer : c) Samples
Description : Which of the following is not an application of learning? a) Data mining b) WWW c) Speech recognition d) None of the mentioned
Last Answer : d) None of the mentioned
Description : Playing chess, purchasing suggestions on e-commerce site, self-driving cars, speech recognition, and image recognition are the example of ____. A. Narrow AI B. General AI C. Super AI D. None of above
Last Answer : A. Narrow AI
Description : Given a sound clip of a person or people speaking, determine the textual representation of the speech. a) Text-to-speech b) Speech-to-text c) All of the mentioned d) None of the mentioned
Last Answer : b) Speech-to-text
Description : What is the intentional exchange of information brought about by production and perception? a) Hearing b) Communication c) Speech d) None of the mentioned
Last Answer : b) Communication
Description : What will take place as the agent observes its interactions with the world? a) Learning b) Hearing c) Perceiving d) Speech
Last Answer : a) Learning
Description : Which is the only way to learn about the different kinds of human faces? a) Perception b) Speech c) Learning d) Hearing
Last Answer : c) Learning
Description : Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search
Last Answer : b) Hidden markov model
Description : What is needed to make probabilistic systems feasible in the world? a) Reliability b) Crucial robustness c) Feasibility d) None of the mentioned
Last Answer : b) Crucial robustness
Description : The primitives in probabilistic reasoning are random variables. a) True b) False
Description : Fuzzy Computing A . mimics human behaviour B. doesnt deal with 2 valued logic C. deals with information which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic D . All of the above
Last Answer : D . All of the above
Description : Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
Last Answer : d) Answering probabilistic query
Description : What are the tasks in probabilistic language model?
Last Answer : i. Information retrieval ii. Information Extraction iii. Machine Translation
Description : Which of the following strategies would NOT be effective at improving your communication competence? a) Recognize the people, objects, and situations remain stable over time b) Recognize that each ... frame of perception is unique c) Be active in perceiving d) Distinguish facts from inference
Last Answer : a) Recognize the people, objects, and situations remain stable over time
Description : Which is true for Decision theory? a) Decision Theory = Probability theory + utility theory b) Decision Theory = Inference theory + utility theory c) Decision Theory = Uncertainty + utility theory d) Decision Theory = Probability theory + preference
Last Answer : c) Decision Theory = Uncertainty + utility theory
Description : Which makes the complexity of the entire algorithm quadratic in the size? a) Clause b) Inference c) Resolution d) Occur check
Last Answer : d) Occur check
Description : Which algorithm takes two sentences and returns a unifier? a) Inference b) Hill-climbing search c) Depth-first search d) Unify algorithm
Last Answer : d) Unify algorithm
Description : Which process makes different logical expression looks identical? a) Lifting b) Unification c) Inference process d) None of the mentioned
Last Answer : b) Unification
Description : What is the process of capturing the inference process as a single inference rule? a) Ponens b) Clauses c) Generalized Modus Ponens d) Variables
Last Answer : c) Generalized Modus Ponens
Description : The basic inference mechanism in semantic network in which knowledge is represented as Frames is to follow the links between the nodes. a) True b) False
Description : The basic inference mechanism in semantic network is to follow the links between the nodes. a) True b) False
Description : There are primarily two modes for an inference engine: forward chaining and backward chaining. a) True b) False
Description : Lifted inference rules require finding substitutions that make different logical expressions looks identical. a) Existential Instantiation b) Universal Instantiation c) Unification d) Modus Ponen
Last Answer : c) Unification
Description : An inference algorithm that derives only entailed sentences is called sound or truth-preserving. a) True b) False
Description : A) Knowledge base (KB) is consists of set of statements. B) Inference is deriving a new sentence from the KB. Choose the correct option. a) A is true, B is true b) A is false, B is false c) A is true, B is false d) A is false, B is true
Last Answer : a) A is true, B is true
Description : Which closely resembles propositional definite clause? a) Resolution b) Inference c) Conjunction d) First-order definite clauses
Last Answer : d) First-order definite clauses
Description : Which condition is used to cease the growth of forward chaining? a) Atomic sentences b) Complex sentences c) No further inference d) All of the mentioned
Last Answer : c) No further inference
Description : Which can be converted to inferred equivalent CNF sentence? a) Every sentence of propositional logic b) Every sentence of inference c) Every sentence of first-order logic d) All of the mentioned
Last Answer : c) Every sentence of first-order logic
Description : Which is a refutation complete inference procedure for propositional logic? a) Clauses b) Variables c) Propositional resolution d) Proposition
Last Answer : c) Propositional resolution
Description : Which is also called single inference rule? a) Reference b) Resolution c) Reform d) None of the mentioned
Last Answer : b) Resolution
Description : From which rule does the modus ponens are derived? a) Inference rule b) Module rule c) Both Inference & Module rule d) None of the mentioned
Last Answer : a) Inference rule
Description : Which are needed to compute the logical inference algorithm? a) Logical equivalence b) Validity c) Satisfiability d) All of the mentioned
Last Answer : d) All of the mentioned
Description : In default logic, which of the following inference rules of the form is allowed? a) (A : B) / C b) A / (B : C) c) A / B d) A / B : C
Last Answer : a) (A : B) / C
Description : Which of the following, is a component of an expert system? a) inference engine b) knowledge base c) user interface d) all of the mentioned
Last Answer : d) all of the mentioned
Description : Three main basic features involved in characterizing membership function are A. Intution, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median
Last Answer : C. Core, Support , Boundary
Description : Define a Complete inference procedure
Last Answer : An inference procedure is complete if it can derive all true conditions from a set of premises.
Description : Define an inference procedure
Last Answer : An inference procedure reports whether or not a sentence is entiled by knowledge base provided a knowledge base and a sentence .An inference procedure i' can be described by the sentences that it can derive. If i ... base, we can write. KB --Alpha is derived from KB or i derives alpha from KB.
Description : What can be viewed as a single lateral of disjunction? a) Multiple clause b) Combine clause c) Unit clause d) None of the mentioned
Last Answer : c) Unit clause
Description : Listening is badly affected by (a) Message overload - excess of listened material (b) High speed of speaking (c) Sizable hearing loss-physiological problem (d) all of the above
Last Answer : (d) all of the above
Description : What are the two subfields of Natural language processing? a) context and expectations b) generation and understanding c) semantics of pragmatics d) recognition and synthesis
Last Answer : b) generation and understanding
Description : OCR (Optical Character Recognition) uses NLP. a) True b) False