Utterance Verification for Text-Dependent Speaker Recognition:A Comparative Assessment Using the RedDots Corpus
| Autor: | Héctor Delgado, Massimiliano Todisco, Achintya Kumar Sarkar, Sahidullah, Zheng-Hua Tan, Ivan Kukanov, Nicolai Bæk Thomsen, Tomi Kinnunen, Nicholas Evans, Ville Hautamäki |
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| Přispěvatelé: | School of Computing, activities |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Speech recognition 020206 networking & telecommunications 02 engineering and technology computer.software_genre Speaker recognition 030507 speech-language pathology & audiology 03 medical and health sciences 0202 electrical engineering electronic engineering information engineering Artificial intelligence 0305 other medical science business computer Utterance Natural language processing |
| Zdroj: | Kinnunen, T, Sahidullah, M, Kukanov, I, Delgado, H, Todisco, M, Sarkar, A K, Thomsen, N B, Hautamaki, V, Evans, N & Tan, Z-H 2016, Utterance Verification for Text-Dependent Speaker Recognition : A Comparative Assessment Using the RedDots Corpus . in Proceedings Interspeech 2016 . ISCA, INTERSPEECH, Interspeech 2016, San Francisco, CA, United States, 08/09/2016 . https://doi.org/10.21437/Interspeech.2016-1125 Interspeech 2016 INTERSPEECH |
| ISSN: | 1990-9772 |
| DOI: | 10.21437/Interspeech.2016-1125 |
| Popis: | Text-dependent automatic speaker verification naturally calls for the simultaneous verification of speaker identity and spoken content. These two tasks can be achieved with automatic speaker verification (ASV) and utterance verification (UV) technologies. While both have been addressed previously in the literature, a treatment of simultaneous speaker and utterance verification with a modern, standard database is so far lacking. This is despite the burgeoning demand for voice biometrics in a plethora of practical security applications. With the goal of improving overall verification performance, this paper reports different strategies for simultaneous ASV and UV in the context of short-duration, text-dependent speaker verification. Experiments performed on the recently released RedDots corpus are reported for three different ASV systems and four different UV systems. Results show that the combination of utterance verification with automatic speaker verification is (almost) universally beneficial with significant performance improvements being observed. published version peerReviewed |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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