In this article the authors investigated and presented the experiments on the sentence boundaries annotation from Polish speech using acoustic cues as a source of information. The main result of the investigation is an algorithm for detection of the syntactic boundaries appearing in the places of punctuation marks. In the first stage, the algorithm detects pauses and divides a speech signal into segments. In the second stage, it verifies the configuration of acoustic features and puts hypotheses of the positions of punctuation marks. Classification is performed with parameters describing phone duration and energy, speaking rate, fundamental frequency contours and frequency bands. The best results were achieved for Naive Bayes classifier. The efficiency of the algorithm is 52% precision and 98% recall. Another significant outcome of the research is statistical models of acoustic cues correlated with punctuation in spoken Polish.
From multi-dialogue to monologue in spoken Italian: the pragmatic/prosodic basis of multi-dialogue and its transformation in narrative and descriptive monologues – The paper summarizes the Language into Act Theory (L-AcT), according to which spoken texts are analysed and aligned per utterance to the acoustic source. Three stretches of spoken Italian taken from the LABLITA Corpus (multi-dialogue, dialogue, monologue) are described according to L-AcT as regards turn-taking, information structure, and illocution. The above texts are then compared to a short literary excerpt showing the different syntactic architecture of the two language varieties.