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Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist Temporal Classification make it possible to train RNNs for sequence labelling problems where th...

Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM fits a frame or a sh...

Odisea: Discurso y Narrativa, by Graciela Zecchin de Fasano, is the most sophisticated and convincing interpretation known to me concerning the varied and complex roles played by direct speech in Homer’s epic. In this ...

A SIMPLEST SYSTEMATICS FOR THE ORGANIZATION OF TURN-TAKING FOR CONVERSATION Harvey SacksEmanuel A. SchegloffGail Jefferson University of California, University of California, University ofPennsylvania IrvineLos Angeles T...