Vishal B. Waghmare

Indian Language Speech Database: A Review

is the most prominent and natural form of communication between humans. Human beings have long been motivated to create computer that can understand and talk like human. When the research tries to develop certain recognition system they require certain previously stored data i.e. database for respective recognition system. There are various speech databases available for European Language but very less for Indian Language. In this paper we discuss the various Speech Database developed in different Indian Languages for speech recognition system & Text to Speech System.

A Comparative Study of Feature Extraction Techniques for Speech Recognition System

The automatic recognition of speech means enabling a natural and easy mode of communication between human and machine. Speech processing has vast applications in voice dialing, telephone communication, call routing, domestic appliances control, Speech to Text conversion, Text to Speech conversion, lip synchronization, automation systems etc. Here we have discussed some mostly used feature extraction techniques like Mel frequency Cepstral Co-efficient (MFCC), Linear Predictive Coding (LPC) Analysis, Dynamic Time Wrapping (DTW), Relative Spectra Processing (RASTA) and Zero Crossings with Peak Amplitudes (ZCPA).Some parameters like RASTA and MFCC considers the nature of speech while it extracts the features, while LPC predicts the future features based on previous features.

Recognition of Marathi Isolated Spoken Words Using Interpolation and DTW Techniques

This paper contains a Marathi speech database and isolated Marathi spoken words recognition system based on Mel-frequency cepstral coefficient (MFCC), optimal alignment using interpolation and dynamic time warping. Initially, Marathi speech database was designed and developed though Computerized Speech Laboratory. The database contained Marathi isolated words spoken by the 50 speakers including males and females. Mel-frequency Cepstral Coefficients were extracted and used for the recognition purpose. The 100% recognition rate for the isolated words have been achieved for both interpolation and dynamic time warping techniques.

Development of Isolated Marathi Words Emotional Speech Database

ABSTRACT The research work describes the procedure and the development of Isolated Marathi Emotional Speech Database. The database consists of samples, collected from 50 speakers including males and females who simulated the emotions producing by the Marathi utterances which are used in everyday communication and are interpretable in all applied emotions. The speech samples were enhanced by spectral subtraction method and distinguished by the various real life situations. The recorded speech samples were categorized in three basic categories i.e. Happy, Sad and Angry. General Terms development of isolated Marathi emotional speech database. Speech Signal Processing, Speech Recognition, Emotion Recognition, Spectral Subtraction, Emotional we have discussed the selection of emotion for the Speech Database. Keywords Section V describes the speech data collection; the recording Speech Databases, Emotion, Speech, Emotion Recognition, Human Computer Interaction.

Deploying Access Control using Extended XACML in Open Web Service Environment

Now a days web services have a greater role in development of software systems. Generally, web server wants to determine which access can be granted and communicate with requesterfor open web service environment. These systems are designed to be open and web servers does not have determined conditions for communicate to the access requester. Such consideration makes traditional access control not applicable, which depends upon requester identification and authentication. Typically, XACML language is proposed for define the access control policy. It does not support novel features and not suitable in practice. In this paper, we extend the current XACML by providing novel features for controlling access in interoperable and flexible way, and then illustrate how such concepts can be deployed. Also, extend the standard XACML architecture to incorporate the new features for open web service systems