Tan\u27itsu chaneru zatsuon yokusei shuho ni kansuru kenkyu

制度:新 ; 報告番号:甲3553号 ; 学位の種類:博士(工学) ; 授与年月日:2012/3/15 ; 早大学位記番号:新589

Models and Analysis of Vocal Emissions for Biomedical Applications

The International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA) came into being in 1999 from the particularly felt need of sharing know-how, objectives and results between areas that until then seemed quite distinct such as bioengineering, medicine and singing. MAVEBA deals with all aspects concerning the study of the human voice with applications ranging from the newborn to the adult and elderly. Over the years the initial issues have grown and spread also in other fields of research such as occupational voice disorders, neurology, rehabilitation, image and video analysis. MAVEBA takes place every two years in Firenze, Italy. This edition celebrates twenty-two years of uninterrupted and successful research in the field of voice analysis

Towards improving ViSQOL (Virtual Speech Quality Objective Listener) Using Machine Learning Techniques

Vast amounts of sound data are transmitted every second over digital networks. VoIP services and cellular networks transmit speech data in increasingly greater volumes. Objective sound quality models provide an essential function to measure the quality of this data in real-time. However, these models can suffer from a lack of accuracy with various degradations over networks. This research uses machine learning techniques to create one support vector regression and three neural network mapping models for use with ViSQOLAudio. Each of the mapping models (including ViSQOL and ViSQOLAudio) are tested against two separate speech datasets in order to comparatively study accuracy results. Despite the slight cost in positive linear correlation and slight increase in error rate, the study finds that a neural network mapping model with ViSQOLAudio provides the highest levels of accuracy in objective speech quality measurement. In some cases, the accuracy levels can be over double that of ViSQOL. The research demonstrates that ViSQOLAudio can be altered to provide an objective speech quality metric greater than that of ViSQOL

The Development of a Parametric Real-Time Voice Source Model for use with Vocal Tract Modelling Synthesis on Portable Devices

This research is concerned with the natural synthesis of the human voice, in particular, the expansion of the LF-model voice source synthesis method. The LF- model is a mathematical representation of the acoustic waveform produced by the vocal folds in the human speech production system. Whilst being used in many voice synthesis applications since its inception in the 1970s, the parametric capabilities of this model have remained mostly unexploited in terms of real-time manipulation. With recent advances in dynamic acoustic modelling of the human vocal tract using the two-dimensional digital waveguide mesh (2D DWM), a logical step is to include a real-time parametric voice source model rather than the static LF-waveform archetype. This thesis documents the development of a parameterised LF-model to be used in conjunction with an iOS-based 2D DWM vocal tract synthesiser, designed with the further study of voice synthesis naturalness as well as improvements to assistive technology in mind

Ames Research Center publications: A continuing bibliography, 1978

This bibliography lists formal NASA publications, journal articles, books, chapters of books, patents and contractor reports issued by Ames Research Center which were indexed by Scientific and Technical Aerospace Abstracts, Limited Scientific and Technical Aerospace Abstracts, and International Aerospace Abstracts in 1978. Citations are arranged by directorate, type of publication and NASA accession numbers. Subject, personal author, corporate source, contract number, and report/accession number indexes are provided