IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.

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Author index
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 467-468 - 2001
The author index contains an entry for each author and coauthor included in the proceedings record.
Automatic evaluation methods of a speech translation system's capability
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 359-362
F. Sugaya, K. Yasuda, T. Takezawa, S. Yamamoto
The main goal of the paper is to propose automatic schemes for the translation paired comparison method, which was proposed by the authors to evaluate precisely a speech translation system's capability. In the method, the outputs of the speech translation system are subjectively compared with the results of native Japanese taking the Test of English for International Communication (TOEIC), which i...... hiện toàn bộ
#Speech analysis #Natural languages #System testing #Regression analysis #Humans #Laboratories #Performance evaluation #Costs #Text recognition
Beyond the Informedia digital video library: video and audio analysis for remembering conversations
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 296-300
A.G. Hauptmann, Wei-Hao Lin
The Informedia Project digital video library pioneered the automatic analysis of television broadcast news and its retrieval on demand. Building on that system, we have developed a wearable, personalized Informedia system, which listens to and transcribes the wearer's part of a conversation, recognizes the face of the current dialog partner and remembers his/her voice. The next time the system see...... hiện toàn bộ
#Software libraries #Digital video broadcasting #Digital audio broadcasting #Face recognition #Speech recognition #Space technology #Global Positioning System #Computer science #TV broadcasting #Automatic speech recognition
Estimated rank pruning and Java-based speech recognition
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 401-404
N. Jevtic, A. Klautau, A. Orlitsky
Most speech recognition systems search through large finite state machines to find the most likely path, or hypothesis. Efficient search in these large spaces requires pruning of some hypotheses. Popular pruning techniques include probability pruning which keeps only hypotheses whose probability falls within a prescribed factor from the most likely one, and rank pruning which keeps only a prescrib...... hiện toàn bộ
#Java #Speech recognition #Sorting #Decoding #Histograms #Size control #System testing #Graphical user interfaces #Parameter estimation
European Language Resources Association history and recent developments
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 465-466
K. Choukri
This paper aims at briefly describing the rationale behind the foundation of the European Language Resources Association (ELRA) in 1995 and its activities since then. We would like to focus on the issues involved in making language resources available to different sectors of the language engineering community. ELRA is presented as a conduit for the distribution of speech, written and terminology d...... hiện toàn bộ
#History #Speech #Terminology #Databases #Natural languages #Research and development #Law #Legal factors #Logistics #Investments
Piecewise-linear transformation-based HMM adaptation for noisy speech
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 159-162
Zhipeng Zhang, S. Furui
This paper proposes a new method using a piecewise-linear transformation for adapting phone HMM to noisy speech. Various noises are clustered according to their acoustic properties and signal-to-noise ratios (SNR), and a noisy speech HMM corresponding to each clustered noise is made. Based on the likelihood maximization criterion, the HMM which best matches the input speech is selected and further...... hiện toàn bộ
#Piecewise linear techniques #Hidden Markov models #Signal to noise ratio #Speech enhancement #Speech recognition #Additive noise #Computer science #Impedance matching #Broadcasting #Speech analysis
Very large vocabulary proper name recognition for directory assistance
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 222-225
F. Bechet, R. de Mori, G. Subsol
This paper deals with the difficult task of recognition of a large vocabulary of proper names in a directory assistance application. After a presentation of the related work, it introduces a methodology for rescoring the N-best hypotheses generated by a first step recognition. First experiments give encouraging results and several topics for future research are presented.
#Vocabulary #Acoustic distortion #Speech recognition #Error analysis #Lattices #Research and development #Robustness #Automatic speech recognition #Hidden Markov models
Out-of-vocabulary word modeling using multiple lexical fillers
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 226-229
G. Boulianne, P. Dumouchel
In large vocabulary speech recognition, out-of-vocabulary words are an important cause of errors. We describe a lexical filler model that can be used in a single pass recognition system to detect out-of-vocabulary words and reduce the error rate. When rescoring word graphs with better acoustic models, word fillers cause a combinatorial explosion. We introduce a new technique, using several thousan...... hiện toàn bộ
#Vocabulary #Speech recognition #Dictionaries #Acoustic signal detection #Explosions #Robustness #Natural languages #Error analysis #Degradation #Character recognition
Enhanced MAP adaptation of n-gram language models using indirect correlation of distant words
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 397-400
T. Moriya, K. Hirose, N. Minematsu, Hui Jiang
A novel and effective method to adapt n-gram language models to a new domain has been developed. We propose a heuristic method of language model adaptation using indirect correlation between words which are distant from each other, in addition to the conventional n-gram correlation, which represents only superficial and direct information of adjacent words. By adding the correlation of distant wor...... hiện toàn bộ
#Speech recognition #Information science #Multimedia communication #Multimedia systems #Electronic mail #Adaptation model #Vocabulary #Natural languages #Probability #Parameter estimation
Speech recognition of broadcast news for the European Portuguese language
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 319-322
H. Meinedo, N. Souto, J.P. Neto
This paper describes our work on the development of a large vocabulary continuous speech recognition system applied to a broadcast news task for the European Portuguese language in the scope of the ALERT project. We start by presenting the baseline recogniser AUDIMUS, which was originally developed with a corpus of read newspaper text. This is a hybrid system that uses a combination of phone proba...... hiện toàn bộ
#Speech recognition #Broadcasting #Natural languages #Streaming media #System testing #Databases #Vocabulary #Multimedia systems #TV #Audio recording
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