| Autre titre | Spotting keywords and censoring topic changes in speech |
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| Téléchargement | - Voir le manuscrit accepté : Spotting keywords and sensing topic changes in speech (PDF, 573 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.1109/CISDA.2012.6291537 |
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| Auteur | Rechercher : Zhu, Xiaodan1 |
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| Affiliation | - Conseil national de recherches du Canada. Technologies de l'information et des communications
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| Format | Texte, Article |
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| Conférence | IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA 2012), July 11-13, 2012, Ottawa, Ontario, Canada |
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| Sujet | keyword spotting; topic segmentation; speech understanding |
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| Résumé | Security concerns involved in dealing with sensitive information conveyed in human languages must be able to handle speech, which is the most basic, natural form of human communication and a huge amount of data are being generated daily. Dealing with such data is naturally associated with typical big-data problems in terms of both computational complexity and storage space. Unfortunately, compared with written texts, speech is inherently more difficult to browse, if no technical support is provided. In this paper we are interested in spotting keywords, which could reflect a security agent's information needs, and study its usefulness in helping automatically disclose topic changes (boundaries) in speech data under concern. Our results show that keyword spotting can help identify topics with a competitive performance. |
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| Date de publication | 2012-07-13 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 20794317 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 0c7d411a-efcb-4e7c-9674-02a22949eacb |
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| Enregistrement créé | 2012-10-12 |
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| Enregistrement modifié | 2020-04-21 |
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