Abstract
Speech Recognition is the process of automatically recognizing the spoken words of person based on information in speech signal. Recognition technique makes it possible to the speaker’s voice to be used in verifying their identity and control access to services such as voice dialing, telephone shopping, banking by telephone, database access services, information service, voice mail, remote access to computers and security control for the confidential information areas. Digital filter plays an important role in digital signal processing applications. Digital filter can also be applied in speech processing applications, such as speech enhancement, speech filtering, noise reduction and automatic speech recognition among others. Filtering is a widely researched topic in the present era of communications. As the received signal is continuously corrupted by noise where both the received signal and noise change continuously, and then arises the need for filtering. This paper provides introduction to Barthannwin Wave Filter based on Barthannwin window for speech signal modeling suited to high performance and robust isolated word recognition. It provides efficient performances with less computational complexity. A Barthannwin Wave filter is designed based on the estimated noise statistics, and it is useful for noise reduction of the speech. The proposed filtering scheme outperforms other existing speech enhancement methods in terms of accuracy in a word recognition system.
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Rathor, A.S., Mishra, P.K. (2014). Word Recognition Using Barthannwin Wave Filter and Neural Network. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_9
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DOI: https://doi.org/10.1007/978-81-322-1768-8_9
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