DOC PREVIEW
TAMU CSCE 689 - McClellandElman1986modelTRACESLIDES

This preview shows page 1-2-3-4-5 out of 14 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 14 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 14 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 14 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 14 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 14 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 14 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

The TRACE Model of Speech PerceptionPresented by A. Brian Davis• Introduction• Specifics• Experiments• LimitationsIntroduction●Insufficiency acoustic information−Context Sensitivity (adjacent phonemes)●Distributed processing−Individual units as hypotheses●Psychological vs Computational model performance• Introduction• Specifics• Experiments• LimitationsSpecifics●Input Features−Consonantal, vocalic (obvious), diffuseness (spread out), acuteness, voicing, Power, Amplitude of “burst of noise” (discriminating stops)−Discretized, chosenSpecifics●Input Features−Consonantal, vocalic (obvious), diffuseness (spread out), acuteness, voicing, Power, Amplitude of “burst of noise” (discriminating stops)−Discretized, chosen●CorrelatedTRACE 2●Time discretized●3 logical levels−Features, Phonemes, Words●Time (1,3,6); overlap●Node excitation is hypothesis−Probabilistic: , −{Between,Within}-level excitation, inhibition (Neural network)●Features excite phoneme nodes●Phonemes excite word nodes●Competitionp  Ri=Si∑jSjSi=ekai• Introduction• Specifics• Experiments• LimitationsjTRACE●Java implementation TRACE●Thanks to Daniel Felps for the linkjTRACE●Java implementation TRACE●Thanks to Daniel Felps for the link●Somewhat faulty−ExperimentsInput phonemesLexical Effects●Correct misspoken phoneme−Word feedback (Ex: Trust/Tlust)●Mechanical / Psychological●Reaction times (Phonotactic effect)−End of words (secret, guldut)Word Segmentation●Ambiguous word breaks−Humans easily disambiguate (usually)●secant/she can't−TRACE words inhibit other words overlapping time●Shorter words preferred, then longer−Words vs non-words, break decision speed●{Possible, pagusle} target• Introduction• Specifics• Experiments• LimitationsDeficiencies●Context●Size−Learning mechanism


View Full Document

TAMU CSCE 689 - McClellandElman1986modelTRACESLIDES

Documents in this Course
slides

slides

10 pages

riccardo2

riccardo2

33 pages

ffd

ffd

33 pages

intro

intro

23 pages

slides

slides

19 pages

p888-ju

p888-ju

8 pages

w1

w1

23 pages

vfsd

vfsd

8 pages

subspace

subspace

48 pages

chapter2

chapter2

20 pages

MC

MC

41 pages

w3

w3

8 pages

Tandem

Tandem

11 pages

meanvalue

meanvalue

46 pages

w2

w2

10 pages

CS689-MD

CS689-MD

17 pages

VGL

VGL

8 pages

ssq

ssq

10 pages

Load more
Download McClellandElman1986modelTRACESLIDES
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view McClellandElman1986modelTRACESLIDES and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view McClellandElman1986modelTRACESLIDES 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?