Unvoiced Chinese Digital Recognition Based On Facial Myoelectric Signal

No abstract is available for this paper.

• Publication year

  2006

• Venue

  International Conference on Communications, Circuits and Systems

• Publication date

  2006-06-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICCCAS.2006.284707
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Pattern Classification

  2021cited by this paper
• Speech signal processing and analysis tool

  2007cited by this paper
• Continuous myoelectric control for powered prostheses using hidden Markov models

  2005cited by this paper
• Surface EMG Signal Classification Using a Selective Mix of Higher Order Statistics

  2005cited by this paper
• Robust and Preceding Speech Detection Using EMG

  2005cited by this paper
• Phoneme Classification for Speech Synthesiser using Differential EMG Signals between Muscles

  2005cited by this paper
• Multi-stream HMM for EMG-based speech recognition

  2004cited by this paper
• Independence of myoelectric control signals examined using a surface EMG model

  2003cited by this paper
• "Unvoiced speech recognition using EMG - mime speech recognition"

  2003cited by this paper
• A multi-expert speech recognition system using acoustic and myoelectric signals

  2002cited by this paper
• A proposed control scheme for a vocal prosthesis

  1990cited by this paper
• Use of myoelectric signals to recognize speech

  1989cited by this paper
• EMG Pattern Analysis and Classification for a Prosthetic Arm

  1982cited by this paper

• Comparison of Classifiers for EMG based Speech Recognition

  2020cites this paper
• Vowel Recognition using Facial Movement (SEMG) for Speech Control based HCI

  2018cites this paper
• Comparison of feature evaluation criteria for speech recognition based on electromyography

  2017cites this paper
• Review of EMG-based Speech Recognition

  2015cites this paper
• of Surface Electromyogram Signals : Its Analysis and Applications

  2013cites this paper
• Review of Surface Electromyogram Signals: Its Analysis and Applications

  2013cites this paper
• Surface Electromyography signal processing and application: a review

  2009cites this paper