Search Results for author: Urmila Shrawankar

Found 11 papers, 0 papers with code

Image Optimization and Prediction

no code implementations10 May 2013 Shweta Jain, Urmila Shrawankar

Image Processing, Optimization and Prediction of an Image play a key role in Computer Science.

Object Recognition

An Overview of Hindi Speech Recognition

no code implementations9 May 2013 Neema Mishra, Urmila Shrawankar, V. M. Thakare

Speech recognition system permits ordinary people to speak to the computer to retrieve information.

speech-recognition Speech Recognition

Automatic Speech Recognition Using Template Model for Man-Machine Interface

no code implementations9 May 2013 Neema Mishra, Urmila Shrawankar, V. M. Thakare

Speech is a natural form of communication for human beings, and computers with the ability to understand speech and speak with a human voice are expected to contribute to the development of more natural man-machine interfaces.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Speech Enhancement Using Pitch Detection Approach For Noisy Environment

no code implementations9 May 2013 Rashmi Makhijani, Urmila Shrawankar, V. M. Thakare

Instead of controlling the background noise, we propose to reinforce the speech signal so that it can be heard more clearly in noisy environments.

Speech Enhancement speech-recognition +1

Opportunities & Challenges In Automatic Speech Recognition

no code implementations9 May 2013 Rashmi Makhijani, Urmila Shrawankar, V. M. Thakare

Automatic speech recognition enables a wide range of current and emerging applications such as automatic transcription, multimedia content analysis, and natural human-computer interfaces.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Speech: A Challenge to Digital Signal Processing Technology for Human-to-Computer Interaction

no code implementations8 May 2013 Urmila Shrawankar, Anjali Mahajan

This software project based paper is for a vision of the near future in which computer interaction is characterized by natural face-to-face conversations with lifelike characters that speak, emote, and gesture.

Speech Synthesis

Speech Enhancement Modeling Towards Robust Speech Recognition System

no code implementations7 May 2013 Urmila Shrawankar, V. M. Thakare

In this contribution, speech enhancement system is introduced for enhancing speech signals corrupted by additive noise and improving the performance of Automatic Speech Recognizers in noisy conditions.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Techniques for Feature Extraction In Speech Recognition System : A Comparative Study

no code implementations6 May 2013 Urmila Shrawankar, V. M. Thakare

In order to find some statistically relevant information from incoming data, it is important to have mechanisms for reducing the information of each segment in the audio signal into a relatively small number of parameters, or features.

speech-recognition Speech Recognition

An Improved Approach for Word Ambiguity Removal

no code implementations25 Apr 2013 Priti Saktel, Urmila Shrawankar

Word ambiguity removal is a task of removing ambiguity from a word, i. e. correct sense of word is identified from ambiguous sentences.

Word Sense Disambiguation

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