A certain recovery method is now under consideration: a re-entrizing model for phoneme candidates by means of searching the correct phonemes using modification depending on recognition error characteristics in an example-based framewbrk [Wakita95]. This approach provides a recovery effect in handling phoneme or syllable sequences, and the effect depends on the particular speakers because of ind...

Cochlear implant users receive limited spectral and temporal information. Their speech recognition deteriorates dramatically in noise. The aim of the present study was to determine the relative contributions of spectral and temporal cues to speech recognition in noise. Spectral information was manipulated by varying the number of channels from 2 to 32 in a noise-excited vocoder. Temporal inform...

This thesis investigates the idea of using phoneme recognition as a telephone communication aid aimed at hearing-impaired people. A laboratory ASR system has been developed with which on-line trials (user studies) have been conducted in order to investigate and evaluate the idea of using state-of-the-art phoneme recognition as a " hearing aid ". Results from the on-line trials indicate that a s...

In speech recognition huge hypothesis spaces are generated. To overcome this problem dynamic programming can be used. In this paper we examine ways of speeding up this search process even more using heuristic search methods, multi-pass search and aggregation operators. The tests showed that these techniques can be applied together, and their combination could significantly speed up the recognit...

Grapheme based mono-, crossand bilingual speech recognition of Czech and Slovak is presented in the paper. The training and testing procedures follow the MASPER initiative that was formed as a part of the COST 278 Action. All experiments were performed using Czech and Slovak SpeechDat-E databases. Grapheme-based models gave equivalent recognition performance compared to phoneme-based models in ...

The vast majority of work in continuous speech recognition uses phoneme-like units as the basic recognition component. The work presented here investigates the practicability of syllable-like units as the building blocks for recognition. A phonetically annotated telephony database is analysed at the syllable level, and a set of syllable-based HMMs are built. Refinements including the introducti...

A certain recovery method is now under consideration: a re-entrizing model for phoneme candidates by means of searching the correct phonemes using modification depending on recognition error characteristics in an example-based framewbrk [Wakita95]. This approach provides a recovery effect in handling phoneme or syllable sequences, and the effect depends on the particular speakers because of ind...