Jabloun, F.Çetin, A. Enis2016-02-082016-02-0819991520-6149http://hdl.handle.net/11693/25289In this paper, a new set of speech feature parameters based on multirate signal processing and the Teager Energy Operator is developed. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filter-bank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse DCT computation. The new feature parameters have a robust speech recognition performance in car engine noise which is low pass in nature.EnglishAcoustic noiseAutomobile enginesCosine transformsData compressionMathematical operatorsParameter estimationSignal filtering and predictionVectorsDiscrete cosine transformsTeager energy operatorSpeech recognitionArticle10.1109/ICASSP.1999.758115