Phonemeand formant-specific warping has been shown to decrease formant and cepstral mismatch. These findings have not yet been fully implemented in speech recognition. This paper discusses a few reasons how this can be. A small experimental study is also included where phoneme-independent warping is extended towards phoneme-specific warping. The results of this investigation did not show a sign...

Stand-alone devices for tactile speech reception serve a need as communication aids persons with profound sensory impairments well in applications such human-computer interfaces and remote when the normal auditory visual channels are compromised or overloaded. The current research is concerned perceptual evaluations of phoneme-based device which unique code was assigned to each 24 consonants 15...

In this paper, we describe a method to enhance the readability of out-of-vocabulary items (OOVs) in the textual output in a large vocabulary continuous speech recognition system. The basic idea is to indicate uncertain words in the transcriptions and replace them with phoneme recognition results that are post-processed using a phoneme-to-grapheme (P2G) converter. We concentrate on the final ste...

A hybrid system for continuous speech recognition con sisting of a neural network with Radial Basis Functions and Hidden Markov Models is described in this paper together with discriminant training techniques Initially the neural net is trained to approximate a posteriori probabilities of single HMM states These probabilities are used by the Viterbi algorithm to calculate the total scores for t...

This paper describes recent work towards development of new corpora and tools for Turkish speech research. This effort represents an on-going collaboration between the Center for Spoken Language Research (CSLR) at the University of Colorado and the Department of Electrical Engineering at the Middle East Technical University (METU). A new text corpus developed from Turkish newspapers’ text is de...

An approach for the recognition of emotions in speech is presented. The target language is Mexican Spanish, and for this purpose a speech database was created. The approach consists in the phoneme acoustic modelling of emotion-specific vowels. For this, a standard phoneme-based Automatic Speech Recognition (ASR) system was built with Hidden Markov Models (HMMs), where different phoneme HMMs wer...

In HMM-based recognition systems for large vocabulary, the observation likelihoods provided by the acoustic models are useful in confidence measures if they are properly normalised. This paper compares two normalisation methods for the acoustic model likelihoods: unconstrained normalisation, based on the unconditional observation likelihood, and constrained normalisation, based on the observati...