TY - JOUR AU - Ruske, G. PY - 2022/12/03 Y2 - 2024/03/29 TI - Experiments on The Use of Demisyllables For Automatic Speech Recognition JF - Canadian Acoustics JA - Canadian Acoustics VL - 14 IS - 3 bis SE - Proceedings of the Acoustics Week in Canada DO - UR - https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3517 SP - 49-50 AB - <p>The paper describes methods for an explicit segmentation of the speech signal into demisyllable segments by evaluating the output of a loudness model. Syllable nuclei are indicated by maxima of a smoothed loudness function. Consonant clusters and vowels are introduced as decision units in order to reduce the inventory of classes. Two methods for classification of consonant clusters are compared: template matching and a feature extraction approach based on acoustic cues. Sentence recognition operates on phonetic word models adapted to the demisyllable structure.</p> ER -