Abstract
The mathematical model and software implementation of an automatic Russian speech recognition system that employs techniques of digital processing and analysis of audiovisual signals from a microphone and a video camera are presented. The description of probabilistic modeling of audiovisual speech based on coupled hidden Markov models, information fusion methods with weight coefficients for audio and video speech modalities, and parametric representation of signals is provided. Quantitative results in multimodal recognition of continuous Russian speech indicate high accuracy and reliability of the automatic system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
