Electronic Binary‐Selection System for Phoneme Classification
نویسندگان
چکیده
منابع مشابه
simulation and design of electronic processing circuit for restaurants e-procurement system
the poor orientation of the restaurants toward the information technology has yet many unsolved issues in regards to the customers. one of these problems which lead the appeal list of later, and have a negative impact on the prestige of the restaurant is the case when the later does not respond on time to the customers’ needs, and which causes their dissatisfaction. this issue is really sensiti...
15 صفحه اولEnsemble Methods for Phoneme Classification
This paper investigates a number of ensemble methods for improving the performance of phoneme classification for use in a speech recognition system. Two ensemble methods are described; boosting and mixtures of experts, both in isolation and in combination. Results are presented on two speech recognition databases: an isolated word database and a large vocabulary continuous speech database. Thes...
متن کاملGaussian Process Dynamical Models for Phoneme Classification
Currently, the hidden Markov model (HMM) is the predominant model studied and used for speech recognition. There has been undeniable progress in speech recognition through the study of HMM but the huge gap that exists between user’s expectation and progress is also undeniable. There are essentially two limitation with the HMM: (1) The Markovian structure in HMM leads to limitation in what it ca...
متن کاملPhoneme Classification using Constrained Variational Gaussian Process Dynamical System
For phoneme classification, this paper describes an acoustic model based on the variational Gaussian process dynamical system (VGPDS). The nonlinear and nonparametric acoustic model is adopted to overcome the limitations of classical hidden Markov models (HMMs) in modeling speech. The Gaussian process prior on the dynamics and emission functions respectively enable the complex dynamic structure...
متن کاملSupport Vector Machines for Phoneme Classification
In this thesis, Support Vector Machines (SVMs) are applied to the problem of phoneme classification. Given a sequence of acoustic observations and 40 phoneme targets, the task is to classify each observation to one of these targets. Since this task involves multiple classes, one of the main hurdles SVMs must overcome is to extend the inherently binary SVMs to the multi-class case. To do this, s...
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: The Journal of the Acoustical Society of America
سال: 1956
ISSN: 0001-4966
DOI: 10.1121/1.1905053