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Speaker Recognition

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Text. Independent. EE 516 Term Project, Fall 2003. Speech production. Speech production mechanism ... The speech signal is assumed to be stationary within this ... – PowerPoint PPT presentation

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Title: Speaker Recognition


1
Speaker Recognition
  • Sharat.S.Chikkerur
  • S.Anand Mantravadi Rajeev.K.Srinivasan

2
Speaker Recognition
  • Definition
  • It is the method of recognizing a person based on
    his voice
  • It is one of the forms of biometric identification

Speaker Recognition
Speaker Identification
Speaker Verification
Speaker Detection
Text Dependent
Text Independent
Text Dependent
Text Independent
3
Speech production
Speech production mechanism
Speech production model
4
Generic Speaker Recognition System
Speech signal
Score
Analysis Frames
Feature Vector
Preprocessing
Feature Extraction
Pattern Matching
Verification
Preprocessing
Feature Extraction
Speaker Model
Enrollment
  • Stochastic Models
  • GMM
  • HMM
  • Template Models
  • DTW
  • Distance Measures
  • LAR
  • Cepstrum
  • LPCC
  • MFCC
  • A/D Conversion
  • End point detection
  • Pre-emphasis filter
  • Segmentation
  • Choice of features
  • Differentiating factors b/w speakers include
    vocal tract shape and behavioral traits
  • Features should have high inter-speaker and low
    intra speaker variation

5
Our Approach
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching

6
Silence Removal
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching

7
Pre-emphasis
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching

8
Segmentation
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching
  • Short time analysis
  • The speech signal is segmented into overlapping
    Analysis Frames
  • The speech signal is assumed to be stationary
    within this frame

Q31
Q32
Q33
Q34
9
Cepstral coefficients
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching

10
Feature Representation
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching

11
Dynamic Time Warping
  • Preprocessing
  • Feature Extraction
  • Speaker model
  • Matching

12
Results
13
Matlab Implementation
14
THANK YOU
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