This paper describes the design and collection of NameDat, a database containing English proper names spoken by native Norwegians. The database was designed to cover the typical acoustic and phonetic variations that appear when Norwegians pronounce English names. The intended use of the database is acoustic and lexical modeling of these phonetic variations. The English names in the database have been enriched with several annotation tiers. The recorded names were selected according to three selection criteria: the familiarity of the name, the expected recognition performance and the coverage of non-native phonemes. The validity of the manual annotations was verified by means of an automatic recognition experiment of non-native names. The ex...
In the Autonomata project we have collected a corpus of spoken name utterances with manually correct...
This paper presents NorNE, a manually annotated corpus of named entities which extends the annotatio...
This project explores the expansion of an existing language recognition system for use with the Norw...
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a...
The development of an automatic speech recognizer (ASR) that can accurately recognize spoken names b...
This paper describes the classifier part of a named entity recogniser for Norwegian which uses memor...
The ability to predict the pronunciation of proper names is of importance to speech recognition appl...
1. Corpora and annotation tools Named entity recognition is a complex but rewarding task with a numb...
Named entity recognition is a complex but rewarding task with a number of obvious applications- sema...
Development of a proper names pronunciation lexicon is usually a manual effort which can not be avoi...
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a...
In this paper the automatic recognition of person names and geographical names uttered by native and...
This paper reports on a speech database that includes non-native pronunciation variants of city name...
In this Named Entity Recognition study, the proper names in Norwegian text are classified using six ...
Understanding names and their reference is central to the analysis of unrestricted texts and poses a...
In the Autonomata project we have collected a corpus of spoken name utterances with manually correct...
This paper presents NorNE, a manually annotated corpus of named entities which extends the annotatio...
This project explores the expansion of an existing language recognition system for use with the Norw...
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a...
The development of an automatic speech recognizer (ASR) that can accurately recognize spoken names b...
This paper describes the classifier part of a named entity recogniser for Norwegian which uses memor...
The ability to predict the pronunciation of proper names is of importance to speech recognition appl...
1. Corpora and annotation tools Named entity recognition is a complex but rewarding task with a numb...
Named entity recognition is a complex but rewarding task with a number of obvious applications- sema...
Development of a proper names pronunciation lexicon is usually a manual effort which can not be avoi...
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a...
In this paper the automatic recognition of person names and geographical names uttered by native and...
This paper reports on a speech database that includes non-native pronunciation variants of city name...
In this Named Entity Recognition study, the proper names in Norwegian text are classified using six ...
Understanding names and their reference is central to the analysis of unrestricted texts and poses a...
In the Autonomata project we have collected a corpus of spoken name utterances with manually correct...
This paper presents NorNE, a manually annotated corpus of named entities which extends the annotatio...
This project explores the expansion of an existing language recognition system for use with the Norw...