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Using combined decisions and confidence measures for name recognition in automatic directory assistance systems
1998
5th International Conference on Spoken Language Processing (ICSLP 1998)
unpublished
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Directory assistance systems are amongst the most challenging applications of speech recognition. ...
Especially designed confidence measures for N-best lists are proposed to detect misrecognized turns. ...
Introduction Fully automatic directory assistance is still one of the big challenges in the field of spoken dialog systems. ...
doi:10.21437/icslp.1998-706
fatcat:d65rfkyyybaabcqcl6bzcwn74m
Strategies for name recognition in automatic directory assistance systems
2000
Speech Communication
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Confidence measures are used for an optimal dialogue flow. We present results of different recognition strategies for databases of various sizes with up to 1.3 million entries (city of Berlin). ...
The strategy is used in a prototype of a fully automated directory information system which is designed to cover a whole country: After the city has been selected, the user is asked for first and last ...
Introduction In recent years, the challenging task of automatic directory assistance has had a lot of attention in the speech recognition community. ...
doi:10.1016/s0167-6393(99)00066-7
fatcat:xjhuzdwsfnhbxg7hj7sechjaia
The thoughtful elephant: strategies for spoken dialog systems
2000
IEEE Transactions on Speech and Audio Processing
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They include tasks from the travel domain and automatic switchboards as well as large scale directory assistance. ...
In particular, we demonstrate how combination decisions over several turns can be exploited to boost the recognition performance of the system. ...
Confidence Measures for N-best Lists In view of applications where hypotheses from N-best lists are combined, one has to judge whether an N-best list is useful in a combination decision or not. ...
doi:10.1109/89.817453
fatcat:ijhv4wua55a27nidrthwlhynny
Utterance Verification Based on the Likelihood Distance to Alternative Paths
[chapter]
2002
Lecture Notes in Computer Science
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Experiments in which different CMs were combined in different ways in the recognition of Dutch city names show that Confidence Error Rates [8] are reduced by 10% by combining the CMs using a classification ...
For this purpose the probability of an error is often estimated by single confidence measure (CM). ...
At the moment, we are exploring their use within the scope of the SMADA project [1] , that investigates the practical implications of developing a system for nationwide directory assistance (DA). ...
doi:10.1007/3-540-46154-x_29
fatcat:3noiextcbnahdmignl364j6huy
Leveraging call context information to improve confidence classification
2010
2010 IEEE Spoken Language Technology Workshop
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This paper describes how speech recognition confidence estimation in a typical Directory Assistance scenario can be improved by taking dialog context into account and recalibrating the original recognition ...
confidences using a statistical classifier that employs classification features extracted from this context. ...
INTRODUCTION Recognition confidences have been used for many years to cope with errors in Automatic Speech Recognition. ...
doi:10.1109/slt.2010.5700888
dblp:conf/slt/Levit10
fatcat:iy4pgoiaq5a7ddv2sydyre7hlm
Usability of dialogue design strategies for automated surname capture
2004
Speech Communication
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Surname capture via automatic speech recognition over the telephone has many commercial applications, including automated directory assistance and travel reservation services. ...
The data underline the importance of user testing, demonstrating the value of the evaluation methodology used, and provide encouraging results for the strategies that involve both speaking and spelling ...
The authors also wish to acknowledge Nuance Communications for use of their recognition software, and bmi British Midland for their contribution in providing the context for the research. ...
doi:10.1016/j.specom.2004.02.002
fatcat:ak3cbnakb5cl7kdjkys5xk2hee
An introduction to voice search
2008
IEEE Signal Processing Magazine
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For example, directory assistance (DA) [1] is one of the most popular voice search applications, in which users issue a spoken query and an automated system returns the phone number and address information ...
The DM utilizes confidence measures, which indicate the certainty of the interpretations, to decide how to present the n-best results. ...
CONFIDENCE MEASURE Confidence measures are used to determine what to do with the search results for a spoken query. ...
doi:10.1109/msp.2008.918411
fatcat:7h5rrhjytjcdliibeksnjpewpa
Diagnostic Decision Support System in Dysmorphology
[chapter]
2012
Decision Support Systems
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Acknowledgements The authors are very grateful to TÜBİTAK (The Scientific and Technological Research Council of Turkey) for sponsoring the study. ...
In other words, all modules in Figure 3 are employed automatically. The system accepts the directory names where the dysmorphic images are as the names of the syndromes while training the datasets. ...
Some robust composite computer assisted decision support systems are needed to be established not only for practitioners but also geneticists to support their decisions through thousands of dysmorphic ...
doi:10.5772/51118
fatcat:np6xdpe4pbbyjlr2camb3hy7ia
Garbage modeling with decoys for a sequential recognition scenario
2009
2009 IEEE Workshop on Automatic Speech Recognition & Understanding
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We show how this algorithm outperforms a system that only looks at recognition confidences by about 20% relative. ...
In particular, we focus on decisions when to accept the results of the first recognizer and when the second recognizer needs to be consulted. ...
to a better user experience, a lot of the commercial speech recognition for call centers, directory assistance and other applications still relies on directed dialog models with handcrafted, phrase-based ...
doi:10.1109/asru.2009.5372919
dblp:conf/asru/LevitCB09
fatcat:rgi2zdfi6vhc3iazabpsg2qb6q
Complementary computing: policies for transferring callers from dialog systems to human receptionists
2007
User modeling and user-adapted interaction
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We describe a study of the use of decision-theoretic policies for optimally joining human and automated problem-solving efforts. ...
We describe the learning of models that predict outcomes and interaction times and show how these models can be used to generate expected-utility policies that identify when it is best to transfer callers ...
Acknowledgments We thank Johnson Apacible for support with the data extraction and analysis and Robert Moon for assistance with gaining access to the VoiceDialer logs. ...
doi:10.1007/s11257-006-9026-1
fatcat:bfnattjsxjaepmn3hnq3iffghm
From Focused Crawling to Expert Information
[chapter]
2003
Proceedings 2003 VLDB Conference
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confidence using a linear SVM) and uses them for periodically retraining the classifier; this way the crawler is dynamically adapted based on the most significant documents seen so far. ...
for user queries, user feedback score, last modified attribute (and also combinations of these metrics). ...
doi:10.1016/b978-012722442-8/50116-6
dblp:conf/vldb/SizovGT03
fatcat:5etbiau55rf35isio6bcqilkm4
Learning about Voice Search for Spoken Dialogue Systems
2010
North American Chapter of the Association for Computational Linguistics
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Our learned models of the best wizard's behavior combine features available to wizards with some that are not, such as recognition confidence and acoustic model scores. ...
In a Wizard-of-Oz experiment with multiple wizard subjects, each wizard viewed automated speech recognition (ASR) results for utterances whose interpretation is critical to task success: requests for books ...
We thank the anonymous reviewers, the Heiskell Library, our CMU collaborators, our statistical wizard Liana Epstein, and our enthusiastic undergraduate research assistants. ...
dblp:conf/naacl/PassonneauELGB10
fatcat:agqrliy4jzct7g2cakqgnbf45q
Confidence estimation for NLP applications
2006
ACM Transactions on Speech and Language Processing
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Confidence measures are a practical solution for improving the usefulness of Natural Language Processing applications. ...
We give an overview of the application of confidence estimation in various fields of Natural Language Processing, and present experimental results for speech recognition, spoken language understanding, ...
We wish to thank the members of th RALI laboratory for their support and advice, in particular Elliott Macklovitch and Philippe Langlais. ...
doi:10.1145/1177055.1177057
dblp:journals/tslp/GandraburFL06
fatcat:funmvci2sfhk3davwffajqkhze
Speech and language processing for next-millennium communications services
2000
Proceedings of the IEEE
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synthesis, recognition, and understanding for dialogue access to information, people, and messaging; and speaker verification for secure access to information and services. ...
Speech technologies have progressed to the point where they are now viable for a broad range of communications services, including compression of speech for use over wired and wireless networks; speech ...
A measure of confidence is assigned to the recognized string, and the decision box can either accept or reject the hypothesized words by comparing the confidence scores to a decision threshold. 2) Performance ...
doi:10.1109/5.880086
fatcat:pzd6bawvirfo7c64t4zou2h4hy
Semi-supervised Adaptation of Assistant Based Speech Recognition Models for different Approach Areas
2018
2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)
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MALORCA project developed an initial basic ABSR system and semi-automatically tailored its recognition models for both Prague and Vienna approach by machine learning from automatically transcribed audio ...
Command recognition error rates were reduced from 7.9% to under 0.6% for Prague and from 18.9% to 3.2% for Vienna. ...
ACKNOWLEDGMENT We would like to thank all the controllers who anonymously provided us with real world command examples and also our MALORCA partners from Austro Control and from Air Navigation Service ...
doi:10.1109/dasc.2018.8569879
fatcat:p52kdrjjy5a5pijoqzo2avcfvu
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