The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform

Noureddine Ellouze - One of the best experts on this subject based on the ideXlab platform.

  • Auditory Model Identification Using REVCOR Method
    International Journal of Intelligent Systems and Applications, 2014
    Co-Authors: Lamia Bouafif, Noureddine Ellouze
    Abstract:

    Auditory models are very useful in many applications such as speech coding and compression, Cochlea Prosthesis, and audio watermarking. In this paper we will develop a new auditory model based on the REVCOR method. This technique is based on the estimation of the impulse response of a suitable filter characterizing the auditory neuron and the Cochlea. The first step of our study is focused on the development of a mathematical model based on the gammachirp system. This model is then programmed, implemented and simulated under Matlab. The obtained results are compared with the experimental values (REVCOR experiments) for the validation and a better optimization of the model parameters. Two objective criteria are used in order to optimize the audio model estimation which are the SNR (signal to noise ratio) and the MQE (mean quadratic error). The simulation results demonstrated that for the auditory model, only a reduced number of channels are excited (from 3 to 6). This result is very interesting for auditory implants because only significant channels will be stimulated. Besides, this simplifies the electronic implementation and medical intervention.

  • Implementation of a Speech Coding Strategy for Auditory Implants
    The International Arab Journal of Information Technology, 2010
    Co-Authors: Lamia Bouafif, Kais Ouni, Noureddine Ellouze
    Abstract:

    Abstract : In this paper we present the conception and the implementation of a speech processing interface for Cochlea Prosthesis. This module is based on a numerical speech processing algorithm which modelizes the infected ear and generates the stimulus signals for the cilia cells (brain). This interface uses a gammachirp filter bank constituted of 16 band pass filters based on IIR filters. The central frequencies and ERB bands are computed with Glasberg and Moore models; however stimulus signals are selected after a spectral energy analysis of each channel. The energy and the amplitude of the selected BFG filter bank outputs are quantized and transmitted to the Cochlea electrodes. To validate our work, we tested it on vowels, consonants then on several words pronounced by different speakers. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment. Keywords : Cochlea Prosthesis, stimulus, gammatone filter, gammachirp, and speech coding. Received February 8, 2009; accepted May 27, 2009

  • Implementation of a Speech Coding Strategy for Auditory Implants
    2009
    Co-Authors: Lamia Bouafif, Kais Ouni, Noureddine Ellouze
    Abstract:

    Abstract: In this paper we present the conception and the implementation of a speech processing interface for Cochlea Prosthesis. This module is based on a numerical speech processing algorithm which modelizes the infected ear and generates the stimulus signals for the cilia cells (brain). This interface uses a gammachirp filter bank constituted of 16 band pass filters based on IIR filters. The central frequencies and ERB bands are computed with Glasberg and Moore models; however stimulus signals are selected after a spectral energy analysis of each channel. The energy and the amplitude of the selected BFG filter bank outputs are quantized and transmitted to the Cochlea electrodes. To validate our work, we tested it on vowels, consonants then on several words pronounced by different speakers. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment

Lamia Bouafif - One of the best experts on this subject based on the ideXlab platform.

  • Auditory Model Identification Using REVCOR Method
    International Journal of Intelligent Systems and Applications, 2014
    Co-Authors: Lamia Bouafif, Noureddine Ellouze
    Abstract:

    Auditory models are very useful in many applications such as speech coding and compression, Cochlea Prosthesis, and audio watermarking. In this paper we will develop a new auditory model based on the REVCOR method. This technique is based on the estimation of the impulse response of a suitable filter characterizing the auditory neuron and the Cochlea. The first step of our study is focused on the development of a mathematical model based on the gammachirp system. This model is then programmed, implemented and simulated under Matlab. The obtained results are compared with the experimental values (REVCOR experiments) for the validation and a better optimization of the model parameters. Two objective criteria are used in order to optimize the audio model estimation which are the SNR (signal to noise ratio) and the MQE (mean quadratic error). The simulation results demonstrated that for the auditory model, only a reduced number of channels are excited (from 3 to 6). This result is very interesting for auditory implants because only significant channels will be stimulated. Besides, this simplifies the electronic implementation and medical intervention.

  • Implementation of a Speech Coding Strategy for Auditory Implants
    The International Arab Journal of Information Technology, 2010
    Co-Authors: Lamia Bouafif, Kais Ouni, Noureddine Ellouze
    Abstract:

    Abstract : In this paper we present the conception and the implementation of a speech processing interface for Cochlea Prosthesis. This module is based on a numerical speech processing algorithm which modelizes the infected ear and generates the stimulus signals for the cilia cells (brain). This interface uses a gammachirp filter bank constituted of 16 band pass filters based on IIR filters. The central frequencies and ERB bands are computed with Glasberg and Moore models; however stimulus signals are selected after a spectral energy analysis of each channel. The energy and the amplitude of the selected BFG filter bank outputs are quantized and transmitted to the Cochlea electrodes. To validate our work, we tested it on vowels, consonants then on several words pronounced by different speakers. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment. Keywords : Cochlea Prosthesis, stimulus, gammatone filter, gammachirp, and speech coding. Received February 8, 2009; accepted May 27, 2009

  • Implementation of a Speech Coding Strategy for Auditory Implants
    2009
    Co-Authors: Lamia Bouafif, Kais Ouni, Noureddine Ellouze
    Abstract:

    Abstract: In this paper we present the conception and the implementation of a speech processing interface for Cochlea Prosthesis. This module is based on a numerical speech processing algorithm which modelizes the infected ear and generates the stimulus signals for the cilia cells (brain). This interface uses a gammachirp filter bank constituted of 16 band pass filters based on IIR filters. The central frequencies and ERB bands are computed with Glasberg and Moore models; however stimulus signals are selected after a spectral energy analysis of each channel. The energy and the amplitude of the selected BFG filter bank outputs are quantized and transmitted to the Cochlea electrodes. To validate our work, we tested it on vowels, consonants then on several words pronounced by different speakers. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment

Ellouze Noureddine - One of the best experts on this subject based on the ideXlab platform.

  • A Cochlea Prosthesis Implementation using Spectral Coding
    Digital Signal Processing, 2012
    Co-Authors: Bouafif Lamia, Ouni Kais, Ellouze Noureddine
    Abstract:

    In this work, we are interested in the implementation of a new speech coding strategy for Cochlear implants. In order to restore hearing for deaf people, we were asked to find a numerical model which reflects the functioning of the auditory system. This model is based on analysis of the speech signal by a Gammachirp filter bank and the generation of electrical stimulation of the auditory nerve fibers. Stimuli with selected number and rank are applied to the electrodes by using a coding strategy which preserves the frequency and temporal information. To improve intelligibility, we used an adaptive coding strategy (ASAS-GF) which is based on a reduced number of channels and variable stimulation rates. The validation of our method was performed by subjective and objective tests such as the evaluation of the SNR, MQE, Recognition rate and listening tests in various environments (noisy, multi speakers). A second validation step has been developed by comparing the results of our strategy withthose obtained with CIS and n of m.

Bouafif Lamia - One of the best experts on this subject based on the ideXlab platform.

  • A Cochlea Prosthesis Implementation using Spectral Coding
    Digital Signal Processing, 2012
    Co-Authors: Bouafif Lamia, Ouni Kais, Ellouze Noureddine
    Abstract:

    In this work, we are interested in the implementation of a new speech coding strategy for Cochlear implants. In order to restore hearing for deaf people, we were asked to find a numerical model which reflects the functioning of the auditory system. This model is based on analysis of the speech signal by a Gammachirp filter bank and the generation of electrical stimulation of the auditory nerve fibers. Stimuli with selected number and rank are applied to the electrodes by using a coding strategy which preserves the frequency and temporal information. To improve intelligibility, we used an adaptive coding strategy (ASAS-GF) which is based on a reduced number of channels and variable stimulation rates. The validation of our method was performed by subjective and objective tests such as the evaluation of the SNR, MQE, Recognition rate and listening tests in various environments (noisy, multi speakers). A second validation step has been developed by comparing the results of our strategy withthose obtained with CIS and n of m.

Kais Ouni - One of the best experts on this subject based on the ideXlab platform.

  • Implementation of a Speech Coding Strategy for Auditory Implants
    The International Arab Journal of Information Technology, 2010
    Co-Authors: Lamia Bouafif, Kais Ouni, Noureddine Ellouze
    Abstract:

    Abstract : In this paper we present the conception and the implementation of a speech processing interface for Cochlea Prosthesis. This module is based on a numerical speech processing algorithm which modelizes the infected ear and generates the stimulus signals for the cilia cells (brain). This interface uses a gammachirp filter bank constituted of 16 band pass filters based on IIR filters. The central frequencies and ERB bands are computed with Glasberg and Moore models; however stimulus signals are selected after a spectral energy analysis of each channel. The energy and the amplitude of the selected BFG filter bank outputs are quantized and transmitted to the Cochlea electrodes. To validate our work, we tested it on vowels, consonants then on several words pronounced by different speakers. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment. Keywords : Cochlea Prosthesis, stimulus, gammatone filter, gammachirp, and speech coding. Received February 8, 2009; accepted May 27, 2009

  • Implementation of a Speech Coding Strategy for Auditory Implants
    2009
    Co-Authors: Lamia Bouafif, Kais Ouni, Noureddine Ellouze
    Abstract:

    Abstract: In this paper we present the conception and the implementation of a speech processing interface for Cochlea Prosthesis. This module is based on a numerical speech processing algorithm which modelizes the infected ear and generates the stimulus signals for the cilia cells (brain). This interface uses a gammachirp filter bank constituted of 16 band pass filters based on IIR filters. The central frequencies and ERB bands are computed with Glasberg and Moore models; however stimulus signals are selected after a spectral energy analysis of each channel. The energy and the amplitude of the selected BFG filter bank outputs are quantized and transmitted to the Cochlea electrodes. To validate our work, we tested it on vowels, consonants then on several words pronounced by different speakers. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment