We report on an implemented grapheme to phoneme conversion architecture Given a set of examples spelling words with their associated phonetic represen tation in a language a grapheme to phoneme conversion system is automatically produced for that language which takes as its input the spelling of words and pro duces as its output the phonetic transcription according to the rules implicit in the ...

This paper presents an approach towards enabling audio search for those languages where training an automatic speech recognition (ASR) system is difficult, owing to lack of training resources. Our work is related to previous approaches where the problem of allowing search for out-of-vocabulary terms has been addressed. A phonetic recognizer is used to convert the audio data into phonetic lattic...

Auditory phoneme categories are less well-defined in developmental dyslexic readers than in fluent readers. Here, we examined whether poor recalibration of phonetic boundaries might be associated with this deficit. 22 adult dyslexic readers were compared with 22 fluent readers on a phoneme identification task and a task that measured phonetic recalibration by lipread speech (Bertelson, Vroomen,...

This paper presents a method for speaker-independent automatic phonetic alignment that is distinguished from standard HMM-based “forced alignment” in three respects: (1) specific acoustic-phonetic features are used, in addition to PLP features, by the phonetic classifier; (2) the units of classification consist of distinctive phonetic features instead of phonemes; and (3) observation probabilit...

Statistical approaches in speech technology, whether used for statistical language models, trees, hidden Markov models or neural networks, represent the driving forces for the creation of language resources (LR), e.g., text corpora, pronunciation and morphology lexicons, and speech databases. This paper presents a system architecture for the rapid construction of morphologic and phonetic lexico...

This paper presents a method for speaker-independent automatic phonetic alignment that is distinguished from standard HMM-based “forced alignment” in three respects: (1) specific acoustic-phonetic features are used, in addition to PLP features, by the phonetic classifier; (2) the units of classification consist of distinctive phonetic features instead of phonemes; and (3) observation probabilit...

An automatic system for segmenting speech signals used for the training of statistical prosody models is presented. Starting from a canonical transcription, the system simultaneously delivers an accurate phonetic segmentation and the matched phonetic transcription indicating pronunciation variants. Although the system is HMM-based, it uses only the speech signals of the prosody database which t...

Untill recently, state-of-the-art, large-vocabulary, continuous speech recognition (CSR) has employed Hidden Markov Modeling (HMM) to model speech sounds. In an attempt to improve over HMM we developed a hybrid system that integrates HMM technology with neural networks. We present the concept of a "Segmental Neural Net" (SNN) for phonetic modeling in CSR. By taking into account all the frames o...

We have developed a four-language automatic language identification system for high-quality speech. The system uses a neural network-based segmentation algorithm to segment speech into seven broad phonetic categories. Phonetic and prosodic features computed on these categories are then input to a second network that performs the language classification. The system was trained and tested on sepa...