Multiple-State Context-Dependent Phonetic Modeling with MLP

نویسندگان

  • Michael Cohen
  • Horacio Franco
  • Nelson Morgan
  • Victor Abrash
چکیده

arlier hybrid multilayer perceptron (MLP)/hidden Markov model (HMM) continuous speech recognition sysr g tems have not modeled context-dependent phonetic effects, sequences of distributions for phonetic models, o ender-based speech consistencies. In this paper we present a new MLP architecture and training procedure for t " modeling context-dependent phonetic classes with a sequence of distributions. A new training procedure tha smooths" networks with different degrees of context-dependence is proposed in order to obtain a robust esti-

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Context-Dependent Multiple Distribution Phonetic Modeling with MLPs

Berkeley, CA 94704 Victor Abrash SRI International A number of hybrid multilayer perceptron (MLP)/hidden Markov model (HMM:) speech recognition systems have been developed in recent years (Morgan and Bourlard. 1990). In this paper. we present a new MLP architecture and training algorithm which allows the modeling of context-dependent phonetic classes in a hybrid MLP/HMM: framework. The new trai...

متن کامل

Hybrid neural network/hidden Markov model continuous-speech recognition

n M In this paper we present a hybrid multilayer perceptron (MLP)/hidde arkov model (HMM) speaker-independent continuous-speech recognib tion system, in which the advantages of both approaches are combined y using MLPs to estimate the state-dependent observation probabilities p of an HMM. New MLP architectures and training procedures are resented which allow the modeling of multiple distributio...

متن کامل

Context-Dependent Connectionist Probability Estimation in a Hybrid HMM-Neural Net Speech Recognition System

In this paper we present a training method and a network achitecture for the estimation of context-dependent observation probabilities in the framework of a hybrid Hidden Markov Model (HMM) / Multi Layer Perceptron (MLP) speaker independent continuous speech recognition system. The context-dependent modeling approach we present here computes the HMM context-dependent observation probabilities u...

متن کامل

Multilingual hierarchical MRASTA features for ASR

Recently, a multilingual Multi Layer Perceptron (MLP) training method was introduced without having to explicitly map the phonetic units of multiple languages to a common set. This paper further investigates this method using bottleneck (BN) tandem connectionist acoustic modeling for four high-resourced languages — English, French, German, and Polish. Aiming at the improvement of already existi...

متن کامل

Improved Bayesian Training for Context-Dependent Modeling in Continuous Persian Speech Recognition

Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007