Constant Q cepstral coefficients: A spoofing countermeasure for automatic speaker verification. (September 2017)
- Record Type:
- Journal Article
- Title:
- Constant Q cepstral coefficients: A spoofing countermeasure for automatic speaker verification. (September 2017)
- Main Title:
- Constant Q cepstral coefficients: A spoofing countermeasure for automatic speaker verification
- Authors:
- Todisco, Massimiliano
Delgado, Héctor
Evans, Nicholas - Abstract:
- Highlights: Broad evaluation of constant Q cepstral coefficients for spoofing detection. Linearisation of geometric space enables constant Q cepstral processing. Variable spectro-temporal resolution key to detection performance. State-of-the-art performance across three standard databases. Cross-database results point towards new approach for generalisation. Abstract: Recent evaluations such as ASVspoof 2015 and the similarly-named AVspoof have stimulated a great deal of progress to develop spoofing countermeasures for automatic speaker verification. This paper reports an approach which combines speech signal analysis using the constant Q transform with traditional cepstral processing. The resulting constant Q cepstral coefficients (CQCCs) were introduced recently and have proven to be an effective spoofing countermeasure. An extension of previous work, the paper reports an assessment of CQCCs generalisation across three different databases and shows that they deliver state-of-the-art performance in each case. The benefit of CQCC features stems from a variable spectro-temporal resolution which, while being fundamentally different to that used by most automatic speaker verification system front-ends, also captures reliably the tell-tale signs of manipulation artefacts which are indicative of spoofing attacks. The second contribution relates to a cross-database evaluation. Results show that CQCC configuration is sensitive to the general form of spoofing attack and use caseHighlights: Broad evaluation of constant Q cepstral coefficients for spoofing detection. Linearisation of geometric space enables constant Q cepstral processing. Variable spectro-temporal resolution key to detection performance. State-of-the-art performance across three standard databases. Cross-database results point towards new approach for generalisation. Abstract: Recent evaluations such as ASVspoof 2015 and the similarly-named AVspoof have stimulated a great deal of progress to develop spoofing countermeasures for automatic speaker verification. This paper reports an approach which combines speech signal analysis using the constant Q transform with traditional cepstral processing. The resulting constant Q cepstral coefficients (CQCCs) were introduced recently and have proven to be an effective spoofing countermeasure. An extension of previous work, the paper reports an assessment of CQCCs generalisation across three different databases and shows that they deliver state-of-the-art performance in each case. The benefit of CQCC features stems from a variable spectro-temporal resolution which, while being fundamentally different to that used by most automatic speaker verification system front-ends, also captures reliably the tell-tale signs of manipulation artefacts which are indicative of spoofing attacks. The second contribution relates to a cross-database evaluation. Results show that CQCC configuration is sensitive to the general form of spoofing attack and use case scenario. This finding suggests that the past single-system pursuit of generalised spoofing detection may need rethinking. … (more)
- Is Part Of:
- Computer speech & language. Volume 45(2017)
- Journal:
- Computer speech & language
- Issue:
- Volume 45(2017)
- Issue Display:
- Volume 45, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 45
- Issue:
- 2017
- Issue Sort Value:
- 2017-0045-2017-0000
- Page Start:
- 516
- Page End:
- 535
- Publication Date:
- 2017-09
- Subjects:
- Spoofing countermeasures -- Presentation attack detection -- Automatic speaker verification -- Constant Q transform -- Cepstral analysis
Speech processing systems -- Periodicals
Automatic speech recognition -- Periodicals
Computers -- Periodicals
Linguistics -- Periodicals
Speech-Language Pathology -- Periodicals
Traitement automatique de la parole -- Périodiques
Reconnaissance automatique de la parole -- Périodiques
Automatic speech recognition
Speech processing systems
Electronic journals
Periodicals
006.454 - Journal URLs:
- http://www.journals.elsevier.com/computer-speech-and-language/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.csl.2017.01.001 ↗
- Languages:
- English
- ISSNs:
- 0885-2308
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.276600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2060.xml