no code implementations • 10 May 2013 • Rahila Patel, Urmila Shrawankar, MM. Raghuwanshi, Anil N. Jaiswal
Test result show that the new scheme of distribution of population has given better performance.
no code implementations • 10 May 2013 • Preeti Badar, Urmila Shrawankar
Second, Facial Feature Extraction which is essential part for expression recognition.
no code implementations • 10 May 2013 • Shweta Jain, Urmila Shrawankar
Image Processing, Optimization and Prediction of an Image play a key role in Computer Science.
no code implementations • 9 May 2013 • Neema Mishra, Urmila Shrawankar, V. M. Thakare
Speech recognition system permits ordinary people to speak to the computer to retrieve information.
no code implementations • 9 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
no code implementations • 9 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.
no code implementations • 9 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
no code implementations • 8 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.
no code implementations • 7 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
no code implementations • 6 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.
no code implementations • 25 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.