An Interactive Mobile Based Speaker Veri Cation Application

\textsc{Dialerauth} captures the key-hold and inter-stroke timings from the 10-digit long number. Similarly it extracts statistical features from the phone's micro-movements to profile the genuine user (as shown in the Figure \ref{fig:dialerauth_model}). The extracted feature vectors are concatenated together to form a final fused vector to model a bimodal system. Since, the target device is the smartphone, we apply feature selection scheme to (i) improve the system's accuracy, and to (ii) improve the performance (as processing of smaller feature vector may incur less computational cost and processing making decision time comparatively

A speech recognition feature in cellphone is revolutionary. Samsung Galaxy introduced a free application called talk to text powered by Google. That application will

I must have missed some element of the scoring on this assessment. I scored poorly according to the scale posted. It is almost as if the scale was backwards. I found an online listening assess with similar questions and took that one, too. See below. Those scores are more in line with who I am as a listener.

JLG Technologies, provides software for correctional investigators across the country. Recently, they released a new software that should make a big impact in the correctional software industry. The name of the software is Investigator Pro 4.0 and the software makes it extremely easy to search by voice. Certainly, correctional investigators spend a lot of time going through phone calls trying to quickly identify subjects on the line through various methods. Those methods might seem slow compared to the powerful new tool that JLG Technologies released. Now, the correctional investigators simply take a sample of the voice and a few seconds later, they identify the callers.

Recognition requires the system to search through many sets of resources stored and choose the one that corresponds to the unknown person presented. Various types of biometric systems are used for real-time identification; the most popular are based on face recognition and fingerprint recognition. However, there are other biometric systems that utilize iris and retinal scan, voice, gesture recognition, and hand geometry. Biometric technologies are becoming the basis for a wide range of solutions for personal identification and verification of high security. The basic idea behind biometrics is that our bodies contain unique properties that can be used to distinguish it from others. A biometric system is essentially a

Training on the kiosk raised more awareness of the project. The keep it simple approach to the systems operating systems navigations allowed for better understanding of how to use the system. The integration of language and speech recognition software was successful.

People use calculators to perform calculations that have a numeric keypad to input the data and a display to get the result. To overcome this, speech signal can be used to input the data and the result is an audio signal.

Writing texts: Writing text is a long process so does typing will take time so rather voice recognition program will minimize writing effort and all that we need to do is text pronounciation correctly and we can proof read it.

Sudeep Sarkar et.al.[10] Researchers have suggested that the ear may have advantages over the face for biometric recognition. Our previous experiments with ear and face recognition, using the standard principal component analysis approach, showed lower recognition performance using ear images. We report results of similar experiments on larger data sets that are more rigorously controlled for relative quality of face and ear images. We find that recognition performance is not significantly different between the face and the ear.

Speech recognition applications include voice user interfaces such as voice dialing (e.g., "Call home"), call routing (e.g., "I would like to make a collect call"), domotic

Human speech is the most natural form of communication and conveys both meaning and identity. The identity of a speaker can be determined from the information contained in the speech signal through speaker identification. Speaker identification is concerned with identifying unknown speakers from a database of speaker models previously enrolled in the system. Speaker (voice) identification has varied applications ranging from opening doors to security systems.

The authentication of users is done by taking in to account their physical features, as there are fewer chances of different people having the same features. Physical aspects vary from individual to individual. So the biometric features, Lip features, gestures can be used to solve the problems associated with security, as they are unchangeable and are owned to a particular person. The biometric used is the typing keystroke pattern features. The keystroke typing pattern varies from person to person [6].The core concept of biometric methodology is that the input data from the user is taken and the key stroke data is collected to calculate the key features. The calculated key features are used in the creation of samples and compared against the classifiers which are

Sometimes, it can be hard talking to people face-to-face. Maybe you avoid human beings you would actually enjoy spending time with. Low self-esteem and self-confidence is a problem many teenagers have today. The solution to this might be mobile phones. Although many claim that mobile technology represents a dark and asocial future, it is possible that it can help teenagers increase their confidence. In this text, I will discuss whether or not mobile technology can be a convenient part of our future by proving people with confidence.

Biometrics is a computerized strategy for recognizing an individual focused around physiological or behavioural trademarks. Among the features measured are face, fingerprints, hand geometry, signature, iris, retinal, vein, and voice. Biometric information is independent and unique from individual data. According to Du (2013) “Biometric systems use a person’s physiological, behavioural, and psychological characteristics to perform human identification”. There are unique points of interest with biometric innovation, for example, face recognition, simple access and numerous like this. On the other hand, a few obstacles additionally emulated with these points of interest, for example, noisy information, accuracy, illumination issues in concern

Hardware involved extra time, worry and problems, and, for these reasons alone, its use gradually faded away.