87,940 research outputs found
Estimation of a physical model of the vocal folds via dynamic programming techniques
No full textThis work presents a procedure for the estimation of a two-mass vocal fold model starting from a time-varying target ow signal. The model is specied by a large number of physical parameters, computed as functions of four articulatory parameters (three laryngeal muscle activations and subglottal pressure). Flow waveforms synthesized by the model are characterized by means of a set of typical voice source quantication acoustic parameters. Given a sequences of target acoustic parameters, dynamic programming techniques and interpolation based on Radial Basis Function Networks are used to derive sequences of articulatory parameters that lead to resynthesis of the target signal
Modellazione fisica della glottide e inversione acustico-articolatoria
No full textQuesto lavoro presenta una tecnica per la stima del modello a due masse della corda vocale a partire da un datoflusso glottale tempo-variante. Il modello a due masse \`e specificato da un certo numero di parametri meccanici di bassolivello, calcolati in funzione di quattro parametri articolatori (livelli di attivazione di tre muscoli laringali e pressione subglottale). Le forme d'onda del flusso glottale, sintetizzate dal modello, sono caratterizzate da un insieme di parametri acustici per la quantificazione della sorgente vocale. Misurando un flusso glottale di riferimento viene data una sequenza di parametri acustici e, impiegando la programmazione dinamica e l'interpolazione con reti RBF (Radial Basis Function Networks), si derivano i parametri di attivazione muscolare che portano alla risintesi del flusso glottale di partenza
An automatic speaker recognition system for intelligence applications
No full textPublication in the conference proceedings of EUSIPCO, Glasgow, Scotland, 200
AI-based test automation: A grey literature analysis
No full textThis paper provides the results of a survey of the grey literature concerning the use of artificial intelligence to improve test automation practices. We surveyed more than 1, 200 sources of grey literature (e.g., blogs, white-papers, user manuals, StackOverflow posts) looking for highlights by professionals on how AI is adopted to aid the development and evolution of test code. Ultimately, we filtered 136 relevant documents from which we extracted a taxonomy of problems that AI aims to tackle, along with a taxonomy of AI-enabled solutions to such problems. Manual code development and automated test generation are the most cited problem and solution, respectively. The paper concludes by distilling the six most prevalent tools on the market, along with think-aloud reflections about the current and future status of artificial intelligence for test automation
Inversion of a physical model of the vocal folds via dynamic programming techniques
No full textThis work presents a procedure for the estimation of a two-mass vocal fold model starting from a time-varying target flow signal. The model is specified by a large number of physical parameters, computed as functions of four articulatory parameters (three laryngeal muscle activations and subglottal pressure). Flow waveforms synthesized by the model are characterized by means of a set of typical voice source quantification acoustic parameters. Given a sequences of target acoustic parameters, dynamic programming techniques and interpolation based on Radial Basis Function Networks are used to derive sequences of articulatory parameters that lead to resynthesis of the target signal
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