The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Score Normalization for Text-Independent Speaker Verification Systems
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Introduction to Statistical Pattern Recognition
(1990) · Elsevier eBooks · doi:10.1016/c2009-0-27872-x · Cited by 11,031
Speaker Verification Using Adapted Gaussian Mixture Models
Reynolds, D. A., Quatieri, T. F., & Dunn, R. B. (2000) · Digital Signal Processing · doi:10.1006/dspr.1999.0361 · Cited by 4,268
Robust text-independent speaker identification using Gaussian mixture speaker models
Reynolds, D. A., & Rose, R. C. (1995) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.365379 · Cited by 2,860
Introduction to Statistical Pattern Recognition
(2011) · Statistical Pattern Recognition · doi:10.1002/9781119952954.ch1 · Cited by 1,597
The DET curve in assessment of detection task performance
Martin, A., Doddington, G., Kamm, T., Ordowski, M., & Przybocki, M. (1997) · 5th European Conference on Speech Communication and Technology (Eurospeech 1997) · doi:10.21437/eurospeech.1997-504 · Cited by 1,384
Speaker identification and verification using Gaussian mixture speaker models
Reynolds, D. A. (1995) · Speech Communication · doi:10.1016/0167-6393(95)00009-d · Cited by 1,215
Comparison of background normalization methods for text-independent speaker verification
Reynolds, D. A. (1997) · 5th European Conference on Speech Communication and Technology (Eurospeech 1997) · doi:10.21437/eurospeech.1997-337 · Cited by 317
An Overview of Speaker Recognition Technology
Furui, S. (1996) · The Kluwer International Series in Engineering and Computer Science · doi:10.1007/978-1-4613-1367-0_2 · Cited by 219
The NIST 2010 speaker recognition evaluation
Martín, A. F., & Greenberg, C. S. (2010) · Interspeech (USB) · doi:10.21437/interspeech.2010-722 · Cited by 153
The NIST 1999 Speaker Recognition Evaluation—An Overview
Martín, A. F., & Przybocki, M. A. (2000) · Digital Signal Processing · doi:10.1006/dspr.1999.0355 · Cited by 153
Cited by
HMM-based on-line signature verification: Feature extraction and signature modeling
Fierrez, J., Ortega-Garcia, J., Ramos, D., & Gonzalez-Rodriguez, J. (2007) · Pattern Recognition Letters · doi:10.1016/j.patrec.2007.07.012 · Cited by 309
An Overview of Speaker Identification: Accuracy and Robustness Issues
Togneri, R., & Pullella, D. (2011) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2011.941079 · Cited by 263
An Introduction to Application-Independent Evaluation of Speaker Recognition Systems
van Leeuwen, D. A., & Brümmer, N. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74200-5_19 · Cited by 179
ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements
Delgado, H., Todisco, M., Sahidullah, M., Evans, N., Kinnunen, T., Lee, K. A., & Yamagishi, J. (2018) · The Speaker and Language Recognition Workshop (Odyssey 2018) · doi:10.21437/odyssey.2018-42 · Cited by 178
Tan, C. B., Hijazi, M. H. A., Khamis, N., Nohuddin, P. N. E. B., Zainol, Z., Coenen, F., & Gani, A. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11235-x · Cited by 40
Metadata
- Authors
- Auckenthaler, R., Carey, M., & Lloyd-Thomas, H.
- Venue
- Digital Signal Processing
- Publisher
- Elsevier BV
- Published
- 2000-01
- Volume
- 10
- Issue
- 1-3
- Pages
- 42-54
- ISSN
- 1051-2004 (ISSN-L)
- OpenAlex
- W2078953162
- Cited by
- 698
- References
- 13
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Score Normalization for Text-Independent Speaker Verification Systems. https://app.cochat.ai/papers/10.1006/dspr.1999.0360
- The paper
- Auckenthaler, R., Carey, M., & Lloyd-Thomas, H. (2000). Score Normalization for Text-Independent Speaker Verification Systems. Digital Signal Processing. https://doi.org/10.1006/dspr.1999.0360
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.