Efficient Continuous Vocabulary Clustering Modeling for Tying Model Recognition Performance Improvement
نویسندگان
چکیده
منابع مشابه
Improved parameter tying for efficient acoustic model evaluation in large vocabulary continuous speech recognition
In an HMM based large vocabulary continuous speech recognition system, the evaluation of context dependent acoustic models is very time consuming. In Semi-Continuous HMMs, a state is modelled as a mixture of elementary generally gaussian probability density functions. Observation probability calculations of these states can be made faster by reducing the size of the mixture of gaussians used to...
متن کاملSmoothing and tying for Korean flexible vocabulary isolated word recognition
For large vocabulary recognition system, as well as for flexible vocabulary applications using hidden Markov model(HMM), parameter smoothing and tying have been used to increase the reliability of models. This paper describes bottom-up and topdown clustering techniques for state level tying. This paper also describes a method of applying parameter smoothing to the clustered states and covarianc...
متن کاملAn efficient search method for large-vocabulary continuous-speech recognition
This paper proposes an efficient method for largevocabulary continuous-speech recognition, using a compact data structure and an efficient search algorithm. We introduce a very compact data structure DAWG as a lexicon to reduce the search space. We also propose a search algorithm to obtain the N-best hypotheses using the DAWG structure. This search algorithm is composed of two phases: “forward ...
متن کاملEfficient Search Algorithms for Large Vocabulary Continuous Speech Recognition
Automatic speaker-independent speech recognition has made significant progress from the days of isolated word recognition. Today state of the art systems are capable of performing large-vocabulary continuous speech recognition (LVCSR) over complex domains such as news broadcasts and telephone conversations. A significant contribution to this advancement in technology is due to the development o...
متن کاملModeling spontaneous speech variability for large vocabulary continuous speech recognition
In this work a number of novel techniques for improved treatment of spontaneous speech variabilities in large vocabulary automatic speech recognition are developed and evaluated on US English conversational speech and spontaneous medical dictations. Two main aspects of spontaneous speech modeling are addressed: The general handling of pronunciation variability and the individual and parallel tr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korea Society of Computer and Information
سال: 2010
ISSN: 1598-849X
DOI: 10.9708/jksci.2010.15.1.177