Ali Akbar Khazaei

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This paper proposes a new model for a noise-robust Automatic Speech Recognition (ASR) based on parallel branch Hidden Markov Model (HMM) structure with a novel approach for robust speech recognition. Automatic Speech Recognition applications such as voice command and control, audio indexing, speech-to-speech translation, do not usually work well in noisy(More)
This paper is proposed for an explicit synthetic speech on LPC speech synthesis by discovering a novel parameter for speech enhancement. We present the NSSA(Natural Synthetic Speech Approach) to converge the same input utterances by different speakers to a new common parameter. The analysis of phonemes is beingused in order to make a much more natural and(More)
This paper presents a simple modified modeling of normalized least mean square (NLMS) algorithm with improved convergence speed and inherent robustness at the expense of less granularity for acoustic noise cancelling applications in Simulink environment. The paper further proposes that with an optimal choice of the crucial step size parameter, one can(More)
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