Patent
Methods and apparatus for non-acoustic speech characterization and recognition
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TLDR
In this article, the positions and velocities of the speech organs (2, 3, 4) as speech is articulated can be defined for each acoustic speech unit (20) by simultaneously recording EM wave reflections and acoustic speech information.Abstract:
By simultaneously recording EM wave reflections (21) and acoustic speech information (24), the positions and velocities of the speech organs (2, 3, 4) as speech is articulated can be defined for each acoustic speech unit (20). Well defined time frames and feature vectors (6, 7, 8, 9) describing the speech, to the degree required, can be formed. Such feature vectors (6, 7, 8, 9) can uniquely characterize the speech unit (20) being articulated each time frame. The onset of speech, rejection of external noise, vocalized pitch periods, articulator conditions, accurate timing, the identification of the speaker, acoustic speech unit (20) recognition, and organ mechanical parameters can be determined.read more
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References
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Book
Fundamentals of speech recognition
TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.
Book
Speech Analysis, Synthesis and Perception
TL;DR: A second edition was begun in 1970, the aim was to retain the original format, but to expand the content, especially in the areas of digital communications and com puter techniques for speech signal processing.
Journal ArticleDOI
Cepstral analysis technique for automatic speaker verification
TL;DR: In this paper, a set of functions of time obtained from acoustic analysis of a fixed, sentence-long utterance are extracted by means of LPC analysis successively throughout an utterance to form time functions, and frequency response distortions introduced by transmission systems are removed.
Journal ArticleDOI
Speech analysis and synthesis by linear prediction of the speech wave.
B. S. Atal,Suzanne L. Hanauer +1 more
TL;DR: Application of this method for efficient transmission and storage of speech signals as well as procedures for determining other speechcharacteristics, such as formant frequencies and bandwidths, the spectral envelope, and the autocorrelation function, are discussed.
Patent
Ultra-wideband radar motion sensor
TL;DR: In this paper, a motion sensor is based on ultra-wideband (UWB) radar, where the range is determined by a pulse-echo interval, and the sensors operate by staring at a fixed ranged and then sensing any change in the averaged radar reflectivity at that range.