The head system and its approach to rule based acoustic-phonetic recognition of speech
نویسندگان
چکیده
One approach to ASR is based on the Hearsay II (ref 1) architecture which utilises a nurober of phonetic and linguistic knowledge sources in its recognition process. The fundamental ideas behind the Hearsay II architecture has been used with a Danish speech project, which is aiming for industrial applications implemented into a Standard microprocessor system to demonstrate a continuous speech, speaker dependent recognition system (ref 4).
منابع مشابه
Persian Phone Recognition Using Acoustic Landmarks and Neural Network-based variability compensation methods
Speech recognition is a subfield of artificial intelligence that develops technologies to convert speech utterance into transcription. So far, various methods such as hidden Markov models and artificial neural networks have been used to develop speech recognition systems. In most of these systems, the speech signal frames are processed uniformly, while the information is not evenly distributed ...
متن کاملSpoken Term Detection for Persian News of Islamic Republic of Iran Broadcasting
Islamic Republic of Iran Broadcasting (IRIB) as one of the biggest broadcasting organizations, produces thousands of hours of media content daily. Accordingly, the IRIBchr('39')s archive is one of the richest archives in Iran containing a huge amount of multimedia data. Monitoring this massive volume of data, and brows and retrieval of this archive is one of the key issues for this broadcasting...
متن کاملA fuzzy acoustic-phonetic decoder for speech recognition
In this paper, a general framework of acoustic-phonetic modelling is developed. Context sensitive rules are incorporated into a knowledge-based automatic speech recognition (ASR) system and are assessed with control based on fuzzy decision making. The reliability measure is outlined: a tests collection is run and a confusion matrix is built for each rule. During the recognition procedure the fu...
متن کاملطراحی الگوریتم بازشناسی واجها با به کارگیری همبسته های آکوستیکی مشخصه های واجی
In the present paper, the phonological feature geometry of the Persian phonemes is analyzed in the form of articulate-free and articulate-bound features based on the articulator model of the nonlinear phonology. Then, the reference phonetic pattern of each feature that consists of one or a set of acoustic correlates, characterized by the quantitative or qualitative values in its phonological re...
متن کاملAllophone-based acoustic modeling for Persian phoneme recognition
Phoneme recognition is one of the fundamental phases of automatic speech recognition. Coarticulation which refers to the integration of sounds, is one of the important obstacles in phoneme recognition. In other words, each phone is influenced and changed by the characteristics of its neighbor phones, and coarticulation is responsible for most of these changes. The idea of modeling the effects o...
متن کامل