Automatic segmentation of separately pronounced Sinhala words into syllables

Automatic Segmentation of Separately Pronounced Sinhala Words into Syllables

Aligned corpora are widely used in various speech applications like automatic speech recognition, speech synthesis, as well as prosodic and phonetic research. The segmentation into syllables can be done manually or automatically. But it consumes significantly more time for a fully manual phonetic segmentation and practically it is a complicated task because in many cases it requires a large ali...

Automatic segmentation of recorded speech into syllables for speech synthesis

Concatenated waveform text-to-speech synthesis systems require an inventory of stored waveforms from which units of speech can be extracted for subsequent rearrangement and concatenation as needed. In previous papers [1], [2] we have argued that for natural sounding speech the syllable should be the preferred unit. The mark-up of the stored waveforms for segmentation into syllables must be prec...

Unsupervised segmentation of words into mo Application to Automatic S

Within the EU Network of Excellence PASCAL, a challenge was organized to design a statistical machine learning algorithm that segments words into the smallest meaning-bearing units of language, morphemes. Ideally, these are basic vocabulary units suitable for different tasks, such as speech and text understanding, machine translation, information retrieval, and statistical language modeling. Tw...

Segmentation of spoken words into syllables by English-speaking children as compared to adults.

Given the importance of syllables in the development of reading, spelling, and phonological awareness, information is needed about how children syllabify spoken words. To what extent is syllabification affected by knowledge of spelling, to what extent by phonology, and which phonological factors are influential? In Experiment 1, six- and seven-year-old children did not show effects of spelling ...

Unsupervised Segmentation of Words into Morphemes