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Term Project Close-Set, Text-Dependent, Twelve(12) people, Speaker Identification Using ANN (Artificial Neural Networks) JAY DESAI KUANG-TAO CHIAO.

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Presentation on theme: "Term Project Close-Set, Text-Dependent, Twelve(12) people, Speaker Identification Using ANN (Artificial Neural Networks) JAY DESAI KUANG-TAO CHIAO."— Presentation transcript:

1 Term Project Close-Set, Text-Dependent, Twelve(12) people, Speaker Identification Using ANN (Artificial Neural Networks) JAY DESAI KUANG-TAO CHIAO

2 Introduction zOverview zClosed Set/Open Set zText Dependent/Text Independent zSpeaker Identification/Speaker Verification

3 System Architecture Block Diagram

4 Some Plots we obtained

5 Short-time Energy zThe 4 vowels zShort time energy zLog plot

6 Frame Extraction z3 frames/vowel z168 Cepstral Coeff.

7 Password z/u/ /i/ /æ/ /a/ zWhy the choice of password? zVowel Plane zThe Phoneticians vowel trapezium

8 Linear Predictive Coding zWhy LP analysis? zFeature Extraction zComputational aspects zLPC Cepstrum

9 Artificial Neural Networks w ki θkθk ykyk nknk

10 Back Propagation

11 Potential Applications zMeetings, Conferences, Conversations zLaw enforcement zSecurity application zHuman-Machine Interface zGender recognition zOthers

12 Scope of Improvement zRobustness zAdditive Noise zCo-channel Interference zIncreasing the number of users


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