The problem of pronunciation evaluation of sentences is defined as the combination of word based subjective pronunciation scores. The mean subjective word score criterion is proposed and modeled with the combination of word-based objective assessment. The word objective metric requires no a priori studies of common mistakes, and it makes use of class based language models to incorporate wrong a...

Pakistani schools in Sultanate of Oman use the whole word approach practices English language reading instructions and lack phonetics’ knowledge of. Regardless, whether is practical or not, teaching skills through these at an early age questionable. This paper will focus on observation evaluation as research tools, concentrate a phonetics phonological analysis first -grade learner case study. T...

A model of pronunciation of words in discourse context has been induced from the annotation of a spoken language corpus. The information included in the annotation is a set of variables hypothesised to be important for the pronunciation of words in discourse context. The annotation is connected to segmentally defined units on tiers corresponding to linguistically relevant units: the discourse, ...

The links between spellings and sounds in a large set of English words with consonant-vowel-consonant phonological structure were examined. orthographic rimes, or units consisting of a vowel grapheme and a final consonant grapheme, had more stable pronunciations than either individual vowels or initial consonant-plus-vowel units. In 2 large-scale studies of word pronunciation, the consistency o...

In this paper an algorithm and rst results from our investigations in automatically learning pronunciation variations from speech data are presented. Pronunciation dictionaries establish an important feature in state-of-the-art speech recognition systems. In most systems only simple dictionaries containing the canonical pronunciation forms are implemented. However, for a good recognition perfor...

So far, applied research aiming at computer-assisted pronunciation training has normally concentrated on segmental aspects. Here, we present a database with realizations of nonnative English speakers with German, French, Spanish, and Italian as native language. We concentrate on the acoustic-prosodic modelling of word accent position and use a large prosodic feature vector to automatically reco...

The Prosodic Module of SLIM has been created in order to solve problems related to segmental and suprasegmental features of spoken English in a courseware for computerassisted foreign language learning called SLIM an acronym for Multimedia Interactive Linguistic Software, developed at the University of Venice. It is composed of two different sets of Learning Activities, the first one dealing wi...

Speaking is generally considered efficient in that less effort is spent articulating more redundant items. With efficient speech production, less reduction is expected in the pronunciation of phonemes that are more important (distinctive) for word identification. The importance of a single phoneme in word recognition can be quantified as the information (in bits) it adds to the preceding word o...

The design of speech recognition system based on acoustically-derived, segmental units can be divided in three steps: unit design, lexicon building and pronunciation modeling. We formulate an iterative unit design procedure which consistently uses a maximum likelihood (ML) objective in successive application of resegmentation and model re-estimation. The lexicon building allows multi-word entri...

This paper presents an approach for the generation and selection of pronunciation transcriptions for a exible word recognizer. The basic idea is to produce pronunciation variants and corresponding scores with a set of pronunciation variation rules, which are weighted with their frequencies of occurence measured on the training data. This approach addresses the problem of interfering transcripti...