The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
An Overview of Speaker Identification: Accuracy and Robustness Issues
Abstract
This paper presents the main paradigms for speaker identification, and recent work on missing data methods to increase robustness. The feature extraction, speaker modeling and system classification are discussed. Evaluations of speaker identification performance subject to environmental noise are presented. While performance is impressive in clean speech conditions, there is rapid degradation with mismatched additive noise. Missing data methods can compensate against arbitrary disturbances and remove environmental mismatches. An overview of missing data methods is provided and applications to robust speaker identification summarized. Finally combined approaches involving bottom-up estimation and top-down processing are reviewed, and their significance discussed.
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Cites
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Suppression of acoustic noise in speech using spectral subtraction
Boll, S. (1979) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1979.1163209 · Cited by 4,634
Speaker Verification Using Adapted Gaussian Mixture Models
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Auditory Scene Analysis: The Perceptual Organization of Sound
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Auditory Scene Analysis: The Perceptual Organization of Sound
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Robust text-independent speaker identification using Gaussian mixture speaker models
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Cited by
Spoofing and countermeasures for speaker verification: A survey
Wu, Z., Evans, N., Kinnunen, T., Yamagishi, J., Alegre, F., & Li, H. (2015) · Speech Communication · doi:10.1016/j.specom.2014.10.005 · Cited by 601
Speaker recognition based on deep learning: An overview
Bai, Z., & Zhang, X.-L. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.03.004 · Cited by 386
Comparison of Pre-Trained CNNs for Audio Classification Using Transfer Learning
Tsalera, E., Papadakis, A., & Samarakou, M. (2021) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan10040072 · Cited by 127
Voice conversion versus speaker verification: an overview
Wu, Z., & Li, H. (2014) · APSIPA Transactions on Signal and Information Processing · doi:10.1017/atsip.2014.17 · Cited by 45
Metadata
- Authors
- Togneri, R., & Pullella, D.
- Venue
- IEEE Circuits and Systems Magazine
- Published
- 2011
- Volume
- 11
- Issue
- 2
- Pages
- 23-61
- ISSN
- 0163-6812 (ISSN-L)
- 1531-636X
- OpenAlex
- W2080794664
- Cited by
- 263
- References
- 55
- FWCI
- 13.60
- Type
- journal article
- Language
- en
- Open access
- closed
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