Точность распознавания

In this paper we discuss recent results from our efforts to make SPHINX, the CMU continuous-speech speaker- independent recognition system, robust to changes in the environment. To deal with differences …...

We present the concept of a "Segmental Neural Net" (SNN) for phonetic modeling in continuous speech recognition. The SNN takes as input all the frames of a phonetic segment and …...

This paperintroduces a simple mixtare language model that attempts to capture long distance conslraints in a sentence or paragraph. The model is an m-component mixture of Irigram models. The models …...

We attemped to improve recognition accuracy by reduc- ing the inadequacies of the lexicon and language model. Specifically we address the following three problems: (1) the best size for the …...

In this paper we discuss the use of discourse con- text in spoken dialogue systems and argue that the knowledge of the domain, modelled with the help of dialogue topics …...

In this paper wc discuss the use of discourse con- text in spoken dialogue systems and argue that the knowledge of the domain, modelled with the help of dialogue topics …...

We present an algorithm and a tool for automatically revising grammars for natural language processing (NLP) systems to disallow specifically identified sentences or sets of sentences. We also outline an …...

Due to grammatical similarities, even a one-to-one mapping between Korean and Japanese words (or morphemes) can usually result in a high quality Korean-to-Japanese machine translation. However, multi-word translation units (MWTU) …...

In this paper, we describe a system that applies maximum entropy (ME) models to the task of named entity recognition (NER). Starting with an annotated corpus and a set of …...

A new technique is introduced, linguistic profiling, in which large numbers of counts of linguistic features are used as a text profile, which can then be compared to average profiles …...

Spelling recognition is an approach to enhance a speech recognizer’s ability to cope with incorrectly recognized words and out-of-vocabulary words. This paper presents a general framework for Thai speech recognition …...

Voice search is increasingly popular, espe- cially for local business directory assistance. However, speech recognition accuracy on business listing names is still low, leading to user frustration. In this paper, …...

We offer a supervised machine learn- ing approach for recognizing erroneous words in the output of a speech recognizer. We have investigated several sets of fea- tures combined with two …...

AbstractThis article describes the first emotional corpus, named EMOVO, applicable to Italian language,. It is a database built from the voices of up to 6 actors who played 14 sentences …...

AbstractWe are presenting our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First …...

AbstractThe paper presents the first dataset that aims to serve interdisciplinary purposes for the utility of computer vision community and sign language linguistics. To date, a majority of Sign Language …...

AbstractThe motivation behind this work lies in the need to differentiate between similar signs that differ in non-manual components present in any sign. To this end, we recorded full sentences …...

AbstractWe present SNuC, the first published corpus of spoken alphanumeric identifiers of the sort typically used as serial and part numbers in the manufacturing sector. The dataset contains recordings and …...