Giampiero Salvi

Research: My research focuses on machine learning techniques for automatic speech recognition. I am particularly interested in unsupervised learning methods. During my PhD studies I developed the low latency phoneme recogniser in the Synface prototype. I have also been working with the analysis of accent variation in the pronunciation of Swedish. Currently I work at modelling language acquisition in the early stage of infant developmental.
Teaching: DT2118 Speech and Speaker Recognition
DD3009 Embodied Cognition
Past Projects: ASPI, Audiovisual-to-articulatory inversion
Mille, Modeling Language LEarning
Contact, Learning and Development of Contextual Action
Hearing at Home
Synface
Teleface

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