The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform

S. Kumari - One of the best experts on this subject based on the ideXlab platform.

  • Enhancement of Esophagus Speech using harmonic plus noise model
    2004 IEEE Region 10 Conference TENCON 2004., 2004
    Co-Authors: P.k. Lehana, R.k. Gupta, S. Kumari
    Abstract:

    Patients whose voice boxes have been removed use either artificial larynx or Esophagus as a source of excitation to the vocal tract. This excitation is shaped by the vocal tract to produce the Speech output. Artificial larynx is a costly device and continuous use of batteries increases the recurring expenses. Further, the presence of background noise degrades the Speech qualify. Production of Esophagus Speech is more convenient and advantageous. The production of Speech using Esophagus is cheap, as no extra device is needed. Also the hands are free while speaking for doing some other work. But main problem of the Esophagus Speech is the very low amplitude of the output Speech, intelligibility, and naturalness. The objective of this paper is to enhance the intelligibility of Esophagus Speech by using harmonic plus noise model (HNM). Esophagus Speech is analyzed and synthesized using HNM and informal listening tests are conducted for accessing the improvement in the synthesized Speech. Investigations show that the output is more natural and intelligible as compared to input Speech signal but there is an increase in the random noise. This noise is uncorrelated to the input and can be suppressed by conventional techniques such as spectral subtraction method. Experiments are also carried out for enhancing the output of HNM by using Klatt synthesizer. Results show that the output of Klatt is almost clear as compared to the HNM output.

Masashi Nakayama - One of the best experts on this subject based on the ideXlab platform.

  • Construction of Speech Support System Using Body-Conducted Speech Recognition for Disorders
    2008 3rd International Conference on Innovative Computing Information and Control, 2008
    Co-Authors: Shunsuke Ishimitsu, Masashi Nakayama
    Abstract:

    The number of disorders associated with cancer of the pharynx has recently increased, and many require surgical removal of the pharynx. Although successful recovery has been reported after surgery, most cases develop Speech disabilities. A common solution used to deal with such communication disorders is Esophagus vocalization. However, Esophagus Speech sounds are not a clear type of Speech as they do not provide a sufficient volume of Speech or frequency for use in daily life. Here, we report the development of a Speech support system using body-conducted Speech recognition for cases with such a disability. The system uses two features: body-conducted Speech recognition and a sub-word unit transfer function database. The system retrieves Speech from body-conducted Speech. We used a healthy subject to demonstrate the feasibility of making body-conducted Speech clear using the sub-word unit transfer function.

P.k. Lehana - One of the best experts on this subject based on the ideXlab platform.

  • Enhancement of Esophagus Speech using harmonic plus noise model
    2004 IEEE Region 10 Conference TENCON 2004., 2004
    Co-Authors: P.k. Lehana, R.k. Gupta, S. Kumari
    Abstract:

    Patients whose voice boxes have been removed use either artificial larynx or Esophagus as a source of excitation to the vocal tract. This excitation is shaped by the vocal tract to produce the Speech output. Artificial larynx is a costly device and continuous use of batteries increases the recurring expenses. Further, the presence of background noise degrades the Speech qualify. Production of Esophagus Speech is more convenient and advantageous. The production of Speech using Esophagus is cheap, as no extra device is needed. Also the hands are free while speaking for doing some other work. But main problem of the Esophagus Speech is the very low amplitude of the output Speech, intelligibility, and naturalness. The objective of this paper is to enhance the intelligibility of Esophagus Speech by using harmonic plus noise model (HNM). Esophagus Speech is analyzed and synthesized using HNM and informal listening tests are conducted for accessing the improvement in the synthesized Speech. Investigations show that the output is more natural and intelligible as compared to input Speech signal but there is an increase in the random noise. This noise is uncorrelated to the input and can be suppressed by conventional techniques such as spectral subtraction method. Experiments are also carried out for enhancing the output of HNM by using Klatt synthesizer. Results show that the output of Klatt is almost clear as compared to the HNM output.

Shunsuke Ishimitsu - One of the best experts on this subject based on the ideXlab platform.

  • Construction of Speech Support System Using Body-Conducted Speech Recognition for Disorders
    2008 3rd International Conference on Innovative Computing Information and Control, 2008
    Co-Authors: Shunsuke Ishimitsu, Masashi Nakayama
    Abstract:

    The number of disorders associated with cancer of the pharynx has recently increased, and many require surgical removal of the pharynx. Although successful recovery has been reported after surgery, most cases develop Speech disabilities. A common solution used to deal with such communication disorders is Esophagus vocalization. However, Esophagus Speech sounds are not a clear type of Speech as they do not provide a sufficient volume of Speech or frequency for use in daily life. Here, we report the development of a Speech support system using body-conducted Speech recognition for cases with such a disability. The system uses two features: body-conducted Speech recognition and a sub-word unit transfer function database. The system retrieves Speech from body-conducted Speech. We used a healthy subject to demonstrate the feasibility of making body-conducted Speech clear using the sub-word unit transfer function.

R.k. Gupta - One of the best experts on this subject based on the ideXlab platform.

  • Enhancement of Esophagus Speech using harmonic plus noise model
    2004 IEEE Region 10 Conference TENCON 2004., 2004
    Co-Authors: P.k. Lehana, R.k. Gupta, S. Kumari
    Abstract:

    Patients whose voice boxes have been removed use either artificial larynx or Esophagus as a source of excitation to the vocal tract. This excitation is shaped by the vocal tract to produce the Speech output. Artificial larynx is a costly device and continuous use of batteries increases the recurring expenses. Further, the presence of background noise degrades the Speech qualify. Production of Esophagus Speech is more convenient and advantageous. The production of Speech using Esophagus is cheap, as no extra device is needed. Also the hands are free while speaking for doing some other work. But main problem of the Esophagus Speech is the very low amplitude of the output Speech, intelligibility, and naturalness. The objective of this paper is to enhance the intelligibility of Esophagus Speech by using harmonic plus noise model (HNM). Esophagus Speech is analyzed and synthesized using HNM and informal listening tests are conducted for accessing the improvement in the synthesized Speech. Investigations show that the output is more natural and intelligible as compared to input Speech signal but there is an increase in the random noise. This noise is uncorrelated to the input and can be suppressed by conventional techniques such as spectral subtraction method. Experiments are also carried out for enhancing the output of HNM by using Klatt synthesizer. Results show that the output of Klatt is almost clear as compared to the HNM output.