1. Speaker Verification
using Oguma Histogram
S117036 Ami Inoamta
Supervisor:M.Sugiyama

2. Outline
● Background
● Speaker verification algorithm
● Oguma histogram
● Speech analysis condition
● Learn histogram , Verification histogram
● Result of speaker verification

3. Background
● Diffusion of smartphone.
● Security is more important.
→Speaker verification system
● VQ : most popular. But calculation amount is large.
● Oguma histogram : calculation amount is small.
→smartphone application.
● First, test this performance in PC terminal.

4. Speaker verification algorithm
Figure1: Speaker verification algorithm.

5. Oguma histogram calculation
● Do not use VQ.
● Directly make histogram
from feature vectors.
1. Set out threshold in each
dimension of feature
vectors.
2. Compare
→Space division
3.Set out Region ID .
Figure2:Concept of Oguma histogram

6. Speech analysis condition
Database TIMIT
Dialect region New England
Head count 10 person
Learning , verification 5 sentence , 5 sentence
Recording format wav
Sampling rate 16 kHz
Dimension number of MFCC 16
Filter bank channel 24
Window size 16 ms
Frame shift 8 ms, 16 ms
Dimension number of 16, 32, 64,
histogram 128,256,512,1024,2048,
4096,8192

7. Learn histogram,Verification histogram
Figure3:Histogram.

8. Result of speaker verification
Figure4:Result(frame shift 8ms).
Figure5:Result(frame shift 16ms).