I, Phone

I detected my cancer with my smart phone.

If Alexander Graham Bell were to come back to life and see what the telephone looks like today, compared with his own invention, he would definitely be astonished. It may not even be appropriate to call today’s devices “telephones.” They are multitasking gadgets capable of a myriad of other operations. It is astonishing that the Apple iPhone claims over 350 000 specialized applications (better ...

i-Door: Intelligent Door Based on Smart Phone

Face recognition system have been widely developed. The machine vision system becomes an interest of many researchers in various fields of science. It provides the most important characteristic of natural interaction that is personalization. Automatic face recognition is a challenging problem, since human faces have a complex pattern. This paper presents a method for recognition of frontal huma...

As I Emerge from the Mobile Phone Dark Ages, I Look Around in Fear and Wonder

Is word-to-phone mapping better than phone-phone mapping for handling English words?

In this paper, we relook at the problem of pronunciation of English words using native phone set. Specifically, we investigate methods of pronouncing English words using Telugu phoneset in the context of Telugu Text-to-Speech. We compare phone-phone substitution and wordphone mapping for pronunciation of English words using Telugu phones. We are not considering other than native language phones...

Phone vector DHMM to decode a phone recognizer's output

In this paper we introduce a Phone Vector Discrete HMM (PVDHMM) that decodes a phone recognizer’s output. The proposed PVDHMM treats a phone recognizer as a vector quantizer whose codebook size is equal to the size of its phone set. To examine the proposed method we perform two experiments. First, the output of a phone recognizer is recognized by the PVDHMM, and its results are compared with th...