منابع مشابه
Hidden Dynamic Models for Speech Processing Applications
Human speech has a dual nature: the goal of speech is to convey discrete linguistic symbols corresponding to the intended message while the actual speech signal is produced by the continuous and smooth movement of the articulators with rich temporal structures. Such a dual nature has been amazingly utilized by humans in a beneficial way but has presented a big challenge for both speech science ...
متن کاملDiscriminative and Connectionist Methods for Speech Processing
Discriminative methods for speech include using criteria such as MMI (maximum mutual information) and MCE (minimum classification error) during the training of HMMs (hidden Markov models). Connectionist methods bring to mind the use of ANNs (artificial neural networks). These methods are in fact closely related, sharing common solutions for tackling the complex problem of how to design MAP (max...
متن کاملSpeeding Up Dynamic Search Methods in Speech Recognition
In speech recognition huge hypothesis spaces are generated. To overcome this problem dynamic programming can be used. In this paper we examine ways of speeding up this search process even more using heuristic search methods, multi-pass search and aggregation operators. The tests showed that these techniques can be applied together, and their combination could significantly speed up the recognit...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1977
ISSN: 0001-4966
DOI: 10.1121/1.2016153