Automatic verification

This thesis attempts to address the problem of how best to remedy different types of channel distortions on speech when that speech is to be used in automatic speaker recognition and verification systems. Automatic speaker recognition is when a person's voice is analysed by a machine and the person's identity is worked out by the comparison of speech features to a known set of speech features. Automatic speaker verification is when a person claims an identity and the machine determines if that claimed identity is correct or whether that person is an impostor.

118p runthenight07 01-03-2023 3 2   Download

A wall-flap-gate is automatic watertight door, and it works by buoyancy without powered machineries and human operations. In the Tohoku Earthquake tsunamis, serious damages were caused by inundation from ventilators of outer walls in power plants.

10p vironald 15-12-2022 5 3   Download

In this chapter, the following content will be discussed: How can we check the model? What properties can we check? How to perform the checking? If it is so good, why learn deductive verification methods? If it is so constrained, is it of any use? Depth first search, start from an initial state, how can we check properties with DFS?...

74p larachdumlanat126 31-12-2020 14 1   Download

The paper presents the verification of capacity of heavy rainfall forecast IFS model by using the dataset of 75 automatic rain gauges collected of 59 heavy rainfall events of 2011-2018 rainfall seasons. The verification results based on ME, MAE, RMSE, R, BIAS, POD, FAR and ETS indices shown that the heavy rain forecast of IFS has good skill in forecast range of 1-3 days ahead. In addition, rainfall forecast of IFS model is over-estimated at small and medium rainfall thresholds and under-estimated in large and extreme large rainfall thresholds.

8p quenchua5 14-05-2020 9 1   Download

To verify hardware designs by model checking, circuit specifications are commonly expressed in the temporal logic CTL. Automatic conversion of English to CTL requires the definition of an appropriately restricted subset of English. We show how the limited semantic expressibility of CTL can be exploited to derive a hierarchy of subsets. Our strategy avoids potential difficulties with approaches that take existing computational semantic analyses of English as their starting point--such as the need to ensure that all sentences in the subset possess a CTL translation. ...

6p bunrieu_1 18-04-2013 65 4   Download

Speaker recognition is the process of automatically extracting personal identity information by analysis of spoken utterances. In this section, speaker recognition is taken to be a general process whereas speaker identification and speaker verification refer to specific tasks or decisionmodes associatedwith this process. Speaker identification refers to the task of determining who is speaking and speaker verification is the task of validating a speaker’s claimed identity.

22p longmontran 18-01-2010 69 6   Download

Speaker recognition is the process of automatically extracting personal identity information by analysis of spoken utterances.

22p nguyen4 17-11-2009 81 5   Download