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Opportunities & Challenges In Automatic Speech Recognition
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 Enhancement Using Pitch Detection Approach For Noisy Environment
Instead of controlling the background noise, we propose to reinforce the speech signal so that it can be heard more clearly in noisy environments.
An Overview of Hindi Speech Recognition
Speech recognition system permits ordinary people to speak to the computer to retrieve information.
Automatic Speech Recognition Using Template Model for Man-Machine Interface
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 Modeling Towards Robust Speech Recognition System
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
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.
