Titlebook: Statistical Language and Speech Processing; 6th International Co Thierry Dutoit,Carlos Martín-Vide,Gueorgui Pironko Conference proceedings

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Analysing Speech for Clinical Applicationsng strings of words was a major target, to a state in which we aim much beyond words. We aim at extracting meaning, but we also aim at extracting all possible cues that are conveyed by the speech signal. In fact, we can estimate bio-relevant traits such as height, weight, gender, age, physical and m

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nautical

Disfluency Insertion for Spontaneous TTS: Formalization and Proof of Conceptneous and expressive. To achieve this, we propose to focus on the linguistic level of speech through the insertion of pauses, repetitions and revisions. We formalize the problem as a theoretical process, where transformations are iteratively composed. This is a novel contribution since most of the p

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Forced Alignment of the , Corpus large, partially transcribed and annotated corpus of spoken French, consisting of approximately 300?h of recordings, and covering 48 geographical regions (including Metropolitan France, Belgium, Switzerland, Canada, and French-speaking countries of Africa). Following a detailed protocol, speakers r

AWE

A Syllable Structure Approach to Spoken Language Recognitionlanguage recognition have been able to accurately determine the language within an audio clip. However, they usually require long training time and large datasets since most of the existing approaches heavily rely on phonotactic, acoustic-phonetic and prosodic information. Moreover, the features ext

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Restoring Punctuation and Capitalization Using Transformer Modelsr of downstream applications. We present a Transformer-based method for restoring punctuation and capitalization for Latvian and English, following the established approach of using neural machine translation (NMT) models. NMT methods here pose a challenge as the length of the predicted sequence doe