The various technologies used to process and store voice prints include frequency estimation, hidden markov models, gaussian mixture models, pattern matching algorithms, neural networks, matrix representation, vector quantization and decision trees. The nist 2010 speaker recognition evaluation alvin f martin, craig s greenberg national institute of standards and technology, gaithersburg, maryland, usa alvin. Ldc partners with nists multimodal information group and retrieval group to provide training, development and test data for research areas that include speech recognition, language recognition, machine translation, cross. The example in v2 replaces the gmm of the v1 recipe with a. Speaker recognition performance on the core nist sre 2010 evaluation with and without the gmmbased vad. Recent advances in signal processing, isbn 978953 7619411, sep 2009, intech publishing. The ieskmagdeburg speaker detection system for the nist. Przybocki national institute of standards and technology gaithersburg, md 20899 usa alvin.
Pdf the sri nist 2008 speaker recognition evaluation system. Features that span temporal regions longer than a typical frame 10. Formal evaluations in speech technology have their origin in the early 1990s of the last century, when the us advanced research projects agency arpa organised regular evaluations in speech recognition executed by the national institute of standards and technology nist, soon followed by speaker and language recognition. Plda based speaker recognition on short utterances qut eprints. Mclaren, a novel scheme for speaker recognition using a phoneticallyaware deep neural network, in proc. Pdf on jan 1, 2009, lukas burget and others published but system for nist 2008 speaker recognition evaluation. System for the nist 2008 speaker recognition evaluation marcel katz ottovonguericke university magdeburg ieskcognitive systems katz.
Voice over internet protocol voip refers to the transmission of speech across datastyle networks. Pdf the sri speaker recognition system for the 2008 nist speaker recognition evaluation sre incorporates a variety of models and. Find, read and cite all the research you need on researchgate. But submitted three systems to nist sre 2008 evalua. Quality measures for speaker verification with short.
The 2008 nist speaker recognition evaluation results date of release. Nist has been coordinating speaker recognition evaluations since 1996. Speaker recognition introduction measurement of speaker characteristics construction of speaker models decision and performance applications this lecture is based on rosenberg et al. The subdirectories v1 and so on are different ivectorbased speaker recognition recipes. Impact of prior channel information for speaker identification. Abstract forensic speaker recognition fsr is the process of determining.
Methods and the fused mfccimfcc features in the gmm based speaker recognition, book. The term voice recognition can refer to speaker recognition or speech recognition. The idiap speaker recognition evaluation system at nist. In recent years, nist introduces interview speech into the evaluations. Based upon the results presented using the nist 2008 speaker recognition evaluation sre dataset, we believe that, while mfdp features alone cannot compete with mfcc features, mfdp can provide complementary information that result in improved speaker verification performance when both approaches are combined in score fusion, particularly in. Modelling, feature extraction and effects of clinical. This publication introduces voip, its security challenges, and potential. This publication introduces voip, its security challenges, and potential countermeasures for. We also decided to test this technology for the nist ivector challenge. It contains 640 hours of multilingual telephone speech and english interview speech along with timealigned transcripts and other materials used as training data in the 2008 nist speaker recognition. The national institute of standards and technology nist regularly coordinates speaker recognition technology evaluations 1, the most recent of which occurred in late 2012 2.
Aug 06, 2008 the 2008 nist speaker recognition evaluation results date of release. The overarching objective of the evaluations has always been to drive the technology forward, to measure the stateoftheart, and to find. The example in v2 replaces the gmm of the v1 recipe with a timedelay deep neural network. Since then over 70 research sites have participated in our evaluations. We highlight the improvements made to specific subsystems and analyze the performance of various subsystem combinations in different data conditions. The latter scenario has been used in recent nist speaker recognition evaluations sres 11. The i4u mega fusion and collaboration for nist speaker. Importance of vad in speaker verication nist sres 11 have been focusing on textindependent speaker verication over telephone channels since 1996. The nist year 2008 speaker recognition evaluation plan, 3. In recent years, nist introduces interview speech into.
The results presented within this paper using the nist 2008 speaker recognition evaluation dataset suggest that the htplda system can continue to achieve better performance than gaussian plda gplda as evaluation utterance lengths are decreased. Arehart the mitre corporation, mclean, va, usa email. The recipe in v1 demonstrates a standard approach using a fullcovariance gmmubm, ivectors, and a plda backend. Svid speaker recognition system for nist sre 2012 springerlink. Wednesday, august 6, 2008 the goal of the nist speaker recognition evaluation sre series is to contribute to the direction of research efforts and the calibration of technical capabilities of text independent speaker recognition. Features that span temporal regions longer than a typical.
Comparison of voice activity detectors for interview speech. The nist series of speaker recognition evaluations sres have, since 1996, evaluated automatic systems for speaker recognition. During the preparations of the evaluation, it was decided that in written publications comparative results are to be presented anonymously, but that individual sites can of course present their own results 1, 3, 9. Stc speaker recognition system for the nist i vector. The goal of the nist speaker recognition evaluation sre series is to contribute to the direction of research efforts and the calibration of technical capabilities of text independent speaker recognition. Fusion of acoustic and tokenization features rong tong1,2, bin ma 1, kongaik lee, changhuai you, donglai zhu1, tomi kinnunen 1, hanwu sun, minghui dong, eng siong chng2 and haizhou li1,2 1institute for infocomm research 21 heng mui keng terrace, singapore 1196. Dec 11, 2012 based upon the results presented using the nist 2008 speaker recognition evaluation sre dataset, we believe that, while mfdp features alone cannot compete with mfcc features, mfdp can provide complementary information that result in improved speaker verification performance when both approaches are combined in score fusion, particularly in. A study of voice activity detection techniques for nist.
The ieskmagdeburg speaker detection system for the nist 2008. Feature vectors extracted in the feature extraction module are veri. Pdf ifly system for the nist 2008 speaker recognition. An overview of textindependent speaker recognition. Plda based speaker recognition on short utterances qut.
Introduction measurement of speaker characteristics. Speaker recognition is the identification of a person from characteristics of voices. Iesk system marcel katz submitted systems system description discriminative classi. Tul system for the nist 2008 speaker recognition evaluation jan silovsky speechlab, institute of information technology and electronics, technical university of liberec, studentska 2, 461 17 liberec 1, czech republic jan. The nist 2014 speaker recognition ivector machine learning. Recently, a comprehensive book on all aspects of speaker recognition was. We consider how performance for the twospeaker detection task is related to that for the corresponding onespeaker task. Sanders national institute of standards and technology, gaithersburg, md, usa c. Part of the lecture notes in computer science book series lncs, volume 81. Conference the reddots data collection for speaker recognition reddots project kong aik lee, anthony larcher, guangsen wang, patrick kenny, niko brummer, david van leeuwen, hagai aronowitz, marcel kockmann, carlos vaquero, bin ma, haizhou li, themos stafylakis, jahangir alam, albert swart, and javier perez, in proc.
Journal duration compensation of ivector for shortduration speaker verification j. Speaker recognition introduction speaker, or voice, recognition is a biometric modality that uses an individuals voice for recognition purposes. Utdcrss systems for 2012 nist speaker recognition evaluation. The sri nist 2008 speaker recognition evaluation system. Speaker recognition in a multi speaker environment alvin f martin, mark a. Wednesday, august 6, 2008 the goal of the nist speaker recognition evaluation sre series is to contribute to the direction of research efforts and the calibration of technical capabilities of. Speaker verification also called speaker authentication contrasts with identification, and speaker recognition differs from speaker diarisation recognizing when the same. Chandra 2 department of computer science, bharathiar university, coimbatore, india suji. This form of transmission is conceptually superior to conventional circuit switched communication in many ways. Security considerations for voice over ip systems nist. Since 2008, interviewstyle speech has become an important part of the nist speaker recognition evaluations sres. The i4u system in nist 2008 speaker recognition evaluation conference paper pdf available in acoustics, speech, and signal processing, 1988. The sri nist 2008 speaker recognition evaluation system ieee. We describe the 2008 nist speaker recognition evaluation, including the speech data used, the test conditions included, the participants, and some of the.
The system is able to identify the current speaker independent of spoken text or language with a latency of about 1. Plot of speaker recognition performance on a nist 2008. Speaker recognition matlab code pdf to pass this exercise, you should write the required matlab codes and a report of the work. The 2008 nist speaker recognition evaluation results nist. Nist 2008 speaker recognition evaluation semantic scholar. Evaluation conference lrec 2008 in marrakesh, morocco and at the 2009 mt summit xii in ottawa, canada. Each year new researchers in industry and universities are encouraged to participate. Chomicha bendahman, meghan lammie glenn, djamel mostefa, niklas paulsson, stephanie strassel quick rich transcriptions of arabic broadcast news speech data. Speaker recognition is a pattern recognition problem. Level features in speaker recognition terminology is imprecise, but has traditionally meant several things in the speaker recognition community.
Robust voice activity detection for interview speech in. Jfa based speaker recognition using deltaphase and mfcc. Robust voice activity detection for interview speech in nist. In recent nist speaker recognition evaluations sres, participating sites typically used energy features, the periodicity of speech frames, the power of noiseremoved speech frames, and asr transcripts provided by nist in their vads 7, 8, 9. The ieskmagdeburg speaker detection system for the nist 2008 speaker recognition evaluation marcel katz ottovonguericke university magdeburg ieskcognitive systems katz. Unlike telephone speech, interview speech has lower signaltonoise ratio, which necessitates robust voice activity detectors vads. Pdf the i4u system in nist 2008 speaker recognition. Collaboration between universities and industries is also welcomed. Pdf the sri nist 2010 speaker recognition evaluation system. The result is 942 pages of a good academically structured literature.
Pdf but system for nist 2008 speaker recognition evaluation. The sri nist 2008 speaker recognition evaluation system conference paper pdf available in acoustics, speech, and signal processing, 1988. The 2010 evaluation sre10 also included a test of human assisted speaker recognition hasr, in which systems based, in whole or in part, on human expertise were evaluated. The sri speaker recognition system for the 2008 nist speaker recognition evaluation sre incorporates a variety of models and features, both cepstral and stylistic.
However, a plethora of security issues are associated with stillevolving voip technology. Paper presented at the 2011 ieee international conference on acoustics, speech, and signal processing icassp 11, prague, czech republic. Nist panel discussion presentation to the national academy of sciences. Speech recognition prompted the speaker recognition community to try to use restricted boltzmann machines rbm for pseudo ivector extraction 810. Kuo, hagen soltau, fast speaker adaptive training for speech recognition, interspeech 2008 pdf. Tul system for the nist 2008 speaker recognition evaluation. Pdf the sri nist 2008 speaker recognition evaluation. It contains 942 hours of multilingual telephone speech and english interview speech along with transcripts and other materials used as test data in the 2008 nist speaker recognition. Sp 80058, security considerations for voice over ip. Pdf the sri speaker recognition system for the 2010 nist speaker. Many of our papers are available below in adobe acrobat pdf format and possibly gzipd postscript format. A laptop with an internal microphone is centrally placed in the table of a meeting room.
The sri speaker recognition system for the 2008 nist speaker recognition evaluation sre incorporates a variety of models and features, both cepstral and. But system for nist 2008 speaker recognition evaluation. Since its founding in 1992, ldc has worked with the national institute of standards and technology nist on a series of ongoing human language technology evaluations. Introduction the goal of this paper is to present a consolidated version of butsystem description with resultsobtained on sre2006 and 2008 data, and todiscuss performances ofindividual systems as well as their fusion. Given that the emphasis of sre12 is on noisy and short duration test conditions, our system development focused on.
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