We present in this paper a statistical model for languageindependent bi-directional conversion between spelling and pronunciation, based on joint grapheme/phoneme units extracted from automatically aligned data. The model is evaluated on spelling-to-pronunciation and pronunciation-tospelling conversion on the NetTalk database and the CMU dictionary. We also study the effect of including lexical...

We present a system that generates original music designed to match a target emotion. It creates n-gram models, Hidden Markov Models, and other statistical distributions based on musical selections from a corpus representing a given emotion and uses these models to probabilistically generate new musical selections with similar emotional content. This system produces unique and often remarkably ...

In this paper, we show that local features computed from the derivations of tree substitution grammars — such as the identify of particular fragments, and a count of large and small fragments — are useful in binary grammatical classification tasks. Such features outperform n-gram features and various model scores by a wide margin. Although they fall short of the performance of the hand-crafted ...

Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs is their extremely long training and testing times. Morin and Bengio have proposed a hierarchical language model built around a binary tree of words, which was two orders of magnitude faster than the nonhierarchical m...

We present a novel and fast algorithm to solve the Perspective-n-Point problem. The PnP problem estimating the pose of a calibrated camera based on measurements and known 3D scene, is recasted as a minimization problem of the Object Space Cost. Instead of limiting the algorithm to perspective cameras, we use a formulation for general camera models. The minimization problem, together with a quat...

human activities in the recent years have considerably increased the rate of water pollution in many regions of the world. in this case study, the main sources of wastewater discharging into the gargar river were identified. using river and point source flow rates and water quality parameters measured along the river, the river water quality was simulated using a commonly used, one-dimensional ...

While it has been established that transitions between discourse relations are important for coherence, such information has not so far been used to aid in language generation. We introduce an approach to discourse planning for conceptto-text generation systems which simultaneously determines the order of messages and the discourse relations between them. This approach makes it straightforward ...

We investigate the influence of term selection and query operations on the text retrieval component of video search. Our main finding is that the greatest gain is to be found in the combination of character n-grams, stemmed text, and proximity terms.

Sentence completion is a challenging semantic modeling task in which models must choose the most appropriate word from a given set to complete a sentence. Although a variety of language models have been applied to this task in previous work, none of the existing approaches incorporate syntactic information. In this paper we propose to tackle this task using a pair of simple language models in w...