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@bennasrmed
Member since 26. marts 2014
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bennasrmed

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I have completed my Articles Writer course and I am looking for a best company to be hired. I am interested to take up the contract of Writer and I think my qualification will suit the best for that position. I have a vast experience in an array of fields and I accept new challenges. I have lot of practical experience as a Articles Writer and Software Architecture Developer. As I have ample knowledge in Website Design I can handle well this segment too if required to. I am confident that with so much of versatility I will fit well for your requirement. I am available for hire to work on your projects today.
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Seneste bedømmelser

  • image of Madausd matlab coding -- 2 $122.00 USD

    “The freelancer did not provide any work , he requested one more week and I gave him more than one week . However, I did not receive any work or messages since the last time when I extended the project's deadline. when he made the bid he stated that he can finish the job within 2-days and this was the main reason to hire him and he said that he'll be paid after he'll finish the job. The actual situation is completely different , he asked for a milestone of the whole payment and did not submit any work to be reviewed or seen.”

Uddannelse

doctorant

2010 - 2014 (4 years)

Publikationer

Arabic Speech Recognition by Bionic Wavelet Transform and MFCC using a Multi Layer Perceptron

In this paper, we have proposed a new technique of Arabic Speech Recognition (ASR) with monolocutor and a reduced vocabulary. This technique consists at first step in using our proper speech database containing Arabic speech words which are recorded by a mono-locutor. The second step consists in features extracting from those recorded words. The third step is to classify those extracted features. This extraction is performed by computing at first step, the Mel Frequency Cepstral Coefficients (MFCCs) f

Optimization of MLP using Genetic Algorithms applied to Arabic speech recognition

Abstract – This paper presents a novel system for Arabic speech recognition of Arabic isolated words with mono-locutor and a small vocabulary. We have used a database consisting of eleven isolated Arabic words each of them was repeated twenty five times by the same -locutor. Mel Frequency Cepstral Coefficient (MFCC) and Bionic Wavelet Transform (BWT) are used for feature extraction from each recorded word. The obtained coefficients were then concatenated to construct one input node of a Multi-Layer Per

Certificeringer

  • Numeracy 1
    75%

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