Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments
نویسندگان
چکیده
منابع مشابه
Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments
Speech coding techniques capable of generating encoded representations which are robust against channel losses play an important role in enabling reliable voice communication over packet networks and mobile wireless systems. In this paper, we investigate the use of multiple description index assignments (MDIAs) for loss-tolerant transmission of line spectral frequency (LSF) coefficients, typica...
متن کاملSpeech enhancement based on hidden Markov model using sparse code shrinkage
This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...
متن کاملRobust Parsing Using A Hidden Markov Model
Abs t rac t . Recent approaches to statistical parsing include those that estimate an approximation of a stochastic, lexicalised gr~mm~x directly from a treebank and others that rebuild trees with a number of trse-coustructing operators, which are applied in order according to a stochastic model when parsing a sentence. In this paper we take an ehtirely di~erent approach to statistical parsing,...
متن کاملIntrusion Detection Using Evolutionary Hidden Markov Model
Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training, ...
متن کاملSpeech Recognition Using Hidden Markov Model
Hidden Markov Models (HMMs) are widely used in pattern recognition applications, most notably speech recognition. Speech samples are recorded using a wave surfer tool. Wave surfer is a simple but powerful interface. The sound can be visualized and analyzed in several ways with the help of this tool. The recorded signal (test data) is compared with the original signal (trained data) using Hidden...
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: EURASIP Journal on Audio, Speech, and Music Processing
سال: 2008
ISSN: 1687-4714,1687-4722
DOI: 10.1155/2008/896021