Abstract. This paper deals with maximum likelihood and least square segmentation of autoregressive random sequences with abruptly changing parameters. Conditional distribution of t...
To improve the performance of call-reason analysis at contact centers, we introduce a novel method to extract call-reason segments from dialogs. It is based on the following two c...
Newborns must learn to structure incoming acoustic information into segments, words, phrases, etc., before they can start to learn language. This process is thought to rely on mod...
Jonathan Le Roux, Hirokazu Kameoka, Nobutaka Ono, ...
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
The detection of short utterances in conversational or interactive speech is essential to the proper processing of meaning in spoken interaction. Short, simple utterances are extr...