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inverse filtering

An expressive HMM based text to speech synthesis system utilizing 
		glottal inverse filtering for
		Tamil language

An expressive HMM based text to speech synthesis system utilizing glottal inverse filtering for Tamil language

... This paper describes an Hidden Markov Model (HMM) based speech synthesis system that make use of the Glottal Inverse Filtering (GIF) for producing natural sounding synthetic speech in Tamil language. GIF ...

5

Inverse filtering for virtual acoustic imaging systems

Inverse filtering for virtual acoustic imaging systems

... different inverse filtering designs among the ones reviewed in ...the inverse filtering when implemented in a non-anechoic environment (with the inverse filters determined either on the ...

259

Input Signal Recovering Using Regular Time Reversal And Inverse Filtering

Input Signal Recovering Using Regular Time Reversal And Inverse Filtering

... of inverse filtering (IF) method are ...through inverse filtering is shown in fig ...after inverse filtering transmission is shown in ...

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Inverse Filtering for Speech Dereverberation Less Sensitive to Noise and Room Transfer Function Fluctuations

Inverse Filtering for Speech Dereverberation Less Sensitive to Noise and Room Transfer Function Fluctuations

... Inverse filtering of room transfer functions (RTFs) is considered an attractive approach for speech dereverberation given that the time invariance assumption of the used RTFs ...the inverse filter ...

12

Speech intelligibility improvement in noisy reverberant environments based on speech enhancement and inverse filtering

Speech intelligibility improvement in noisy reverberant environments based on speech enhancement and inverse filtering

... The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse ...

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Machinery condition monitoring by inverse filtering and statistical analysis

Machinery condition monitoring by inverse filtering and statistical analysis

... Then, data under both normal condition and current operation period will be passed inversely through this signal model, which yields a new process: prediction error series or residual se[r] ...

13

Digital Media Authentication Method For Acoustic Environment Detection

Digital Media Authentication Method For Acoustic Environment Detection

... recording invariant moments of bicoherance spectrum are used. H. Zhao and H. Malik presented a method to find the acoustic environment traces in the recordings [17]. It is a statistical method to distinguish the ...

5

ANALYSIS OF VOICED SPEECH EXCITATION DUE TO ALCOHOL INTOXICATION

ANALYSIS OF VOICED SPEECH EXCITATION DUE TO ALCOHOL INTOXICATION

... There are several effective techniques for extrac- ting glottal pulses indirectly from speech. Considering the promising results in our previous experiments with the excitation of speech under stress [21], glottal pul- ...

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... of inverse filtering based on linear prediction theory has been introduced and demonstrated to be a powerful tool for the estimation of formant trajectory (10), (11), (12) for pitch period extraction (13), ...

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Least Squares Filtering Algorithm for Reactive Near Field Probe Correction

Least Squares Filtering Algorithm for Reactive Near Field Probe Correction

... an inverse filtering approach that integrates the statistical characteristics of noise using the constrained least squares filtering technique (CLSF) ...of inverse filtering that ...

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Online Full Text

Online Full Text

... In the proposed work IARC TP53 germline datasets are taken from the International Agency for Research on cancer TP53 repository for classifying TP53 mutants using feature relevance analysis. First feature construction is ...

6

Factorizable inverse monoids

Factorizable inverse monoids

... The examples in section 8 have shown many more or less natural ways in which a given group action can be matched up with a pre-kernel map. In this section we set out two further fairly general ways. The first, dubbed the ...

27

Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System

Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System

... Collaborative filtering is most extensively used approach to design recommender ...Collaborative Filtering (CF) methods play an significant role in the recommendation process, although Collaborative ...

6

On Randomized Minimal MapReduce Sets for Filtering Expressions

On Randomized Minimal MapReduce Sets for Filtering Expressions

... The reader should realize that we only require an objective or kernel R(.,X) to define a weight distribution. Any other mechanism to arrive at such a concept of approximate solutions will serve the same purpose. In ...

8

Modeling and Simulation on Securing of Software Defined Network Overlays

Modeling and Simulation on Securing of Software Defined Network Overlays

... The contents which are being described to Figure 14 from Figure 2 become possible by solution of high accuracy executing the algorithm which is proposed in this paper, and Network access control technique using ...

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A SYSTEM TO FILTER OSN USER WALL

A SYSTEM TO FILTER OSN USER WALL

... Other classifier which is used in previous paper is used to classify the text which contain large amount of data, but it endure when the amount of document is limited. In particular, we base the overall short text ...

7

Inverse Shadowing and Weak Inverse Shadowing Property

Inverse Shadowing and Weak Inverse Shadowing Property

... In addition we study relation between minimality and weak inverse shadowing property with respect to class  0 and show that a chain transitive homeomorphism f on compact metric space X [r] ...

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Impulse Noise Reduction and Enhancement of Gray Scale and Color Images

Impulse Noise Reduction and Enhancement of Gray Scale and Color Images

... Abstract—A new filtering algorithm, adaptive weight algorithm, is developed for the removal of impulse noise present in the Images. This approach has two major steps, in that, first is to detect noise pixels ...

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Inverse rings and inverse semigroups of ring homomorphisms

Inverse rings and inverse semigroups of ring homomorphisms

... 0 and 1 we have 2 n solutions as claimed. The rest of the proposition is clear. Thus the semigroup of ring homomorphisms H(R) under mapping composition is a commutative semigroup of 2 n elements and such that f 2 = f of ...

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