Transformation-Based Reconstruction for Real-Time Voice Transmissions over the Internet

Hung, Kuo-En NTHU/CS, Visual Communication Lab.

Benjamin W.Wah, Fellow, IEEE, and Dong Lin

Outline

IntroductionInternet Traffic ExperimentsTransformation-Based Reconstruction AlgorithmsExperimental ResultsConclusion

Introduction

Loss-concealment mechanisms Receiver-based Sender- and receiver-based

Signal-to-Noise Ratio (SNR)

2

2

10 )ˆ(

)(log10

ss

sSNR

Introduction (cont’d)

Introduction (cont’d)

Introduction (cont’d)

Internet Traffic

Internet Traffic (cont’d)

Internet Traffic (cont’d)

i

j

ijs mjn

1 s

ii

n

miilossfail

),|Pr(

p

ii

p

s

s

ii

n

mi

n

n

n

miifail

)|Pr(

ns : Total number of lost

Pr: Conditional probability

j: consecutive losses of length

i: interleaving factor

: loss happen timesijm

Internet Traffic (cont’d)

Transformation-Based Reconstruction Algorithms

Transformation-Based Reconstruction Algorithms (cont’d)

Transformation-Based Reconstruction Algorithms (cont’d)

Transformation-Based Reconstruction Algorithms (cont’d)

Experimental Results

Experimental Results (cont’d)

Experimental Results (cont’d)

Experimental Results (cont’d)

Experimental Results (cont’d)

Experimental Results (cont’d)

Experimental Results (cont’d)

Conclusion

Proposed a new transformation-base reconstruction algorithm for real-time low-delay voice transmissions over the internet.This algorithm is general and can be extended easily to other interpolation-based reconstruction algorithms.Future work is extending the method to low-bit rate compression methods, such as CELP.