Acquisition of the Japanese vowel length contrast can be problematic for non-native speakers. For these speakers, a CALL system which can automatically recognize vowel length could be of great benefit for pointing out their errors and issuing corrective feedback. However, a method that can adequately do this has not been proposed yet. Vowel length recognition is made difficult because the vowel...

Understanding speech-in-noise is difficult for most cochlear implant (CI) users. Speech-in-noise segregation cues are well understood for acoustic hearing but not for electric hearing. This study investigated the effects of stimulation rate and onset delay on synthetic vowel-in-noise recognition in CI subjects. In experiment I, synthetic vowels were presented at 50, 145, or 795 pulse/s and nois...

Production of vowel-stop consonant-vowel syllables involves movement of articulators from the articulatory position of the vowel towards that of the stop closure to that of the vowel. Movement of articulators before and after a stop closure is characterized by formant transitions. The closure portion of a stop have zero or low signal energy and relevant spectral information is not available. He...

Multilingual speech recognition system is required for tasks that use several languages in one speech recognition application. In this paper, we propose an approach for multilingual speech recognition by spotting consonant-vowel (CV) units. The important features of spotting approach are that there is no need for automatic segmentation of speech and it is not necessary to use models for higher ...

A method is proposed for implementing the cross-lingual porting of recognition models for rapid prototyping of speech recognisers in new target languages, specifically when the collection of large speech corpora for training would be economically questionable. The paper describes a way to build up a multilingual model which includes the phonetic structure of all the constituent languages, and w...

A simple method for computer recognition of Telugu speech sounds irrespective of speakers is described. A vocabu­ bulary consisting of 871 Telugu words containing the ten vowels (f'O/./a :/,/i/,/i :/,/u/,/u :/,/e/,/e :/./0/ and /0 :/) in constant­ vowel nucleus-consonant (CNC) combination and uttered by three informants was selected as the testing material. Formant frequencies. Flo F2 and F3 of...