Unlimited security by using voice and walk stamp as tools

Abstract EN

Speech recognition technology has been in use for a long time but with the last advancements of mobile device technology, it is now easier to get access to it.

Nowadays, people use speech recognition speaking to their smartphones, using their voices to interact with it.

The recognition process is also faster, more effective and more efficient due to new computer architectures that bring more computational power and as a result of machine learning advancements.

Nowadays, to conduct speech recognition, we can consider a scenario where a user records its speech with a smartphone, sends it to a server, and the server performs the recognition using the recognition models and the computational power it has.

But Security system may be defined as mixing between multi method and tools to improve goal.

The use of Garbled Circuits was only been seen as of theoretical interest for a long time, but with last year advances, they are now starting to be tested and used in some practical scenarios.

Hidden Markov Models are widely used models in speech recognition representing the acoustic characteristics of spoken language.

This paper introduces the study security-preserving speech recognition and walk.

Using Hidden Markov Models and Garbled Speech recognition technology has been in use for a long time but with the last advancements of mobile device technology, it is now easier to get access to it.

Nowadays, people use speech recognition speaking to their smartphones, using their voices to interact with it.

The recognition process is also faster, more effective and more efficient due to new computer architectures that bring more computational power and as a result of machine learning advancements.

Nowadays, to conduct speech recognition, we can consider a scenario where a user records its speech with a smartphone, sends it to a server, and the server performs the recognition using the recognition models and the computational power it has.

But Security system may be defined as mixing between multi method and tools to improve goal.

The use of Garbled Circuits was only been seen as of theoretical interest for a long time, but with last year advances, they are now starting to be tested and used in some practical scenarios.

Hidden Markov Models are widely used models in speech recognition representing the acoustic characteristics of spoken language.

This paper introduces the study security-preserving speech recognition and walk.

Using Hidden Markov Models and Garbled Circuits.