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- W4378422082 abstract "Speech is a verbal communication used by humans through language. Likewise speech recognition is a process of converting speech to text. This paper provides a study of use of artificial neural networks(ANN) in speech recognition. Hidden Markov models (HMM) is a traditional statistical techniques for performing speech recognition. In speech detection software, Mel frequency cepstral coefficients (MFCCs) are frequently used. With different approaches evolving, we deal with the features used to recognize the speech pattern and implementation of speech recognition in the efficient types of artificial neural network (ANN)." @default.
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- W4378422082 date "2023-01-01" @default.
- W4378422082 modified "2023-10-06" @default.
- W4378422082 title "Speech Recognition Using Artificial Neural Network" @default.
- W4378422082 doi "https://doi.org/10.54216/jchci.050201" @default.
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