Search Results - "Qamhan, Mustafa A."

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  1. 1
    Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning

    Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning by Qamhan, Mustafa A., Altaheri, Hamdi, Meftah, Ali Hamid, Muhammad, Ghulam, Alotaibi, Yousef Ajami

    Published in IEEE access (2021)
    “…The recording device along with the acoustic environment plays a major role in digital audio forensics. We propose an acoustic source identification system in…”
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  2. 2
    Spoken Language Identification System Using Convolutional Recurrent Neural Network

    Spoken Language Identification System Using Convolutional Recurrent Neural Network by Alashban, Adal A., Qamhan, Mustafa A., Meftah, Ali H., Alotaibi, Yousef A.

    Published in Applied sciences (01-09-2022)
    “…Following recent advancements in deep learning and artificial intelligence, spoken language identification applications are playing an increasingly significant…”
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  3. 3
    King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison

    King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison by Meftah, Ali Hamid, Qamhan, Mustafa A., Seddiq, Yasser, Alotaibi, Yousef A., Selouani, Sid Ahmed

    Published in IEEE access (2021)
    “…Emotional speech recognition for the Arabic language is insufficiently tackled in the literature compared to other languages. In this paper, we present the…”
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  4. 4
    Sequence-to-Sequence Acoustic-to-Phonetic Conversion Using Spectrograms and Deep Learning

    Sequence-to-Sequence Acoustic-to-Phonetic Conversion Using Spectrograms and Deep Learning by Qamhan, Mustafa A., Alotaibi, Yousef Ajami, Seddiq, Yasser Mohammad, Meftah, Ali Hamid, Selouani, Sid Ahmed

    Published in IEEE access (2021)
    “…Distinctive phonetic features (DPFs) abstractedly describe the place, manner of articulation, and voicing of the language phonemes. While DPFs are powerful…”
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  5. 5
    Optimizing Arabic Speech Distinctive Phonetic Features and Phoneme Recognition Using Genetic Algorithm

    Optimizing Arabic Speech Distinctive Phonetic Features and Phoneme Recognition Using Genetic Algorithm by Ibrahim, Ahmed B., Seddiq, Yasser Mohammad, Meftah, Ali Hamid, Alghamdi, Mansour, Selouani, Sid-Ahmed, Qamhan, Mustafa A., Alotaibi, Yousef A., Alshebeili, Saleh A.

    Published in IEEE access (2020)
    “…Distinctive phonetic features have an important role in Arabic speech phoneme recognition. In a given language, distinctive phonetic features are extrapolated…”
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  6. 6
    Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms

    Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms by Qamhan, Mustafa A., Meftah, Ali H., Selouani, Sid-Ahmed, Alotaibi, Yousef A., Zakariah, Mohammed, Seddiq, Yasser Mohammad

    “…In this study, a speech emotion recognition technique based on a deep learning neural network that uses the King Saud University Emotions' Arabic dataset is…”
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  7. 7
    King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison

    King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison by Meftah, Ali Hamid, Qamhan, Mustafa A, Seddiq, Yasser, Alotaibi, Yousef A, Selouani, Sid Ahmed

    Published in Access, IEEE (2021)
    “…Emotional speech recognition for the Arabic language is insufficiently tackled in the literature compared to other languages. In this paper, we present the…”
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