NDLI: Automatic speaker verification on narrowband and wideband lossy coded clean speech

Content Provider	IET Digital Library
Author	Jarina, Roman Polacký, Jozef Počta, Peter Chmulík, Michal
Abstract	Substantial progress has been achieved in voice-based biometrics in recent times but a variety of challenges still remain for speech research community. One such obstacle is reliable speaker authentication from speech signals degraded by lossy compression. Compression is commonplace in modern telecommunications, such as mobile telephony, VoIP services, teleconference, voice messaging or gaming. In this study, the authors investigate the effect of lossy speech compression on text-independent speaker verification. Voice biometrics performance is evaluated on clean speech signals distorted by the state-of-the-art narrowband (NB) as well as wideband (WB) speech codecs. The tests are performed in both channel-matched and channel-mismatched scenarios. The test results show that coded WB speech improves voice authentication precision by 1–3% of equal error rate over coded NB speech, even at the lowest investigated bitrates. It is also shown that the enhanced voice services codec does not provide better results than the other codecs involved in this study.
Starting Page	276
Ending Page	281
Page Count	6
ISSN	20474938
Volume Number	6
e-ISSN	20474946
Issue Number	Issue 4, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/6/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0119
Journal	IET Biometrics
Publisher Date	2017-05-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic Speaker Verification Biomimetics Channel-matched Scenarios Channel-mismatched Scenarios Coded NB Speech Coded WB Speech Equal Error Rate Lossy Compression Narrowband Lossy Coded Clean Speech Narrowband Speech Codecs Speaker Authentication Speaker Recognition Speech And Audio Coding Speech Codecs Speech Coding Speech Processing Technique Speech Recognition And Synthesis Speech Research Community Speech Signal Voice Authentication Precision Voice Biometrics Performance Voice Service Codec Voice-based Biometrics Wideband Lossy Coded Clean Speech Wideband Speech Codecs
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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