Hands-Free Wearable Electrolarynx using Linear Predictive Coding Residual Waves and Listening Evaluation

• Takeuchi Masaki

  Graduate School of Engineering, The University of Tokyo

• Ahn Jaesol

  Faculty of Information and Communication Engineering, The University of Tokyo

• Lee Kunhak

  Faculty of Mechanical Engineering, The University of Tokyo

• Takaki Ken

  Graduate School of Engineering, The University of Tokyo

• Ifukube Tohru

  Research Center for Advanced Science and Technology, The University of Tokyo

• Yabu Ken-ichiro

  Research Center for Advanced Science and Technology, The University of Tokyo

• Takamichi Shinnosuke

  Department of Information Science and Technology, The University of Tokyo

• Ueha Rumi

  Swallowing Center, The University of Tokyo Hospital, The University of Tokyo

• Sekino Masaki

  Department of Bioengineering, The University of Tokyo

Abstract

A conventional electrolarynx (EL), which is used by laryngectomees, produces monotonous sound and occupies a user's hand; hence, we developed a hands-free wearable device that improves voice quality. The proposed device estimates individual vocal tract features using linear predictive coding (LPC) and generates sound vibrations using an LPC inverse filter. Additionally, we reproduced the vibration sound using a transducer and amplified the first harmonic frequency and the second one. We conducted an objective experiment to compare the spectra of natural voice, a conventional EL, and the proposed device. We also conducted a subjective experiment in which we asked healthy subjects to listen to and evaluate the conventional EL and the proposed device. The results of the objective experiment demonstrated that our model was characterized by two formant peaks that were similar to the conventional EL and the natural voice. The results of the subjective experiment demonstrated that our model was more powerful and clearer than the conventional EL. These findings indicate that the voice of our device is spectrally close to human voice and gives the audience a more powerful and clearer sound.

Journal

• Advanced Biomedical Engineering

  Advanced Biomedical Engineering 11 (0), 68-75, 2022

  Japanese Society for Medical and Biological Engineering

Keywords

• welfare device
• signal processing
• transducer

Details

• CRID: 1390854139458095104
• NII Article ID: 130008164067
• DOI: 10.14326/abe.11.68
• ISSN: 21875219
• Web Site: https://www.jstage.jst.go.jp/article/abe/11/0/11_11_68/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2023114690
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed