the following optimization of the discriminative functions the extended BW algorithm (12) was applied to re-estimate the mixtures of the phoneme models. All phoneme alternatives within the automatically derived phoneme seg-mentation were used in the calculation of the discriminance measure. According to (6), the mixtures of the correct and of all competing models were updated to minimize the ob...

Hemisphere asymmetry in phoneme perception was analyzed. Three basic mechanisms underlying phoneme perception are proposed. Left temporal lobe would be specialized in: (1) ultrashort auditory (echoic) memory; (2) higher resolution power for some language frequencies; and (3) recognition of rapidly changing and time-dependent auditory signals. An attempt was made to apply some neurophysiological...

Language identification (LID) based on phono-tactic modeling is presented in this paper. Approaches using phoneme strings and strings of units automatically derived by an Ergodic HMM (EHMM) are compared. The phoneme recognizers were trained on 6 languages from OGI multi-language-corpus and Czech SpeechDat-E. The LID results are obtained on 4 languages. The results show superiority of Czech phon...

We define a novel g-to-p prediction algorithm that utilises the concept of a ‘default phoneme’: a grapheme which is realised as a specific phoneme significantly more often than as any other phoneme. We find that this approach results in an algorithm that performs well across a range from very small to large data sets. We evaluate the algorithm on two benchmarked databases (Fonilex and NETtalk) ...

Statistical methods for reconstructing speech at the phoneme level are used to find missing phonemes that are removed from sentences in the TIMIT corpus. Probabilities for the occurrence of the missing phoneme(s) are generated and the most likely candidate(s) selected to reconstruct the sentence. Method includes symmetric and asymmetric ‘confidence windowing’ around the missing phoneme(s) for d...

Two online research tools are presented in this paper: PermA, a general-purpose string aligner which can for example be used for grapheme-to-phoneme and phonemeto-phoneme alignment, and Balloon, a text processing toolkit for German and English providing components for part-of-speech tagging, morphological analyses, and grapheme-to-phoneme conversion including syllabification and word-stress ass...

In this paper a phoneme recognition system based on predictive neural networks is proposed. Neural networks are used to predict observation vectors of speech frames. The obtained prediction error is used for phoneme recognition as 1) distortion measure on the frame level and 2) as feature, which is statistically modeled by the Rayleigh distribution. Continuous speech phoneme recognition experim...

A multistream phoneme recognition framework is proposed based on forming streams from different spectrotemporal modulations of speech. Phoneme posterior probabilities were estimated from each stream separately and combined at the output level. A statistical model of the final estimated posterior probabilities is used to characterize the system performance. During the operation, the best fusion ...

We describe an extension to the Baum-Welch algorithm for training Hidden Markov Models that uses explicit phoneme segmentation to constrain the forward and backward lattice. The HMMs trained with this algorithm can be shown to improve the accuracy of automatic phoneme segmentation. In addition, this algorithm is significantly more computationally efficient than the full BaumWelch algorithm, whi...

This paper presents a simple speech recognition system using Gaussian mixtures as phoneme models. The proposed architecture does not follow the integrated search strategy. Instead we use a modular design. We propose two modifications to the Viterbi decoding algorithm in order to be applicable to our phoneme models. Both strategies have been implemented and tested on two corpora. Experiments hav...