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\iteman{io-port 05857943}
\itemau{Patel, Ibrahim; Rao, Y.Srinivas}
\itemti{A frequency spectral feature modeling for hidden Markov model based automated speech recognition.}
\itemso{Meghanathan, Natarajan (ed.) et al., Recent trends in networks and communications. International conferences, NeCoM 2010, WiMoN 2010, WeST 2010, Chennai, India, July 23--25, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-14492-9/pbk; 978-3-642-14493-6/ebook). Communications in Computer and Information Science 90, 134-143 (2010).}
\itemab
Summary: This paper presents an approach to the recognition of speech signal using frequency spectral information with Mel frequency for the improvement of speech feature representation in a HMM based recognition approach. A frequency spectral information is incorporated to the conventional Mel spectrum base speech recognition approach. The Mel frequency approach exploits the frequency observation for speech signal in a given resolution which results in resolution feature overlapping resulting in recognition limit. Resolution decomposition with separating frequency is mapping approach for a HMM based speech recognition system. The Simulation results show a improvement in the quality metrics of speech recognition with respect to computational time, learning accuracy for a speech recognition system.
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\itemut{speech-recognition; mel-frequencies; DCT; frequency decomposition; mapping approach; HMM}
\itemli{doi:10.1007/978-3-642-14493-6\_15}
\end