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Topic: Speaker recognition

Related Topics

Speech recognition

Speech processing

Speech coding

Speech synthesis

Linear predictive coding

Cheung Sha

Linear prediction

Free software

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	NIST - Speaker Recognition Evaluations
		The official 1999 speaker recognition evaluation was conducted in early spring.
		A high level overview of the 1999 NIST Speaker Recognition Evaluation as was presented at Eurospeech in 1999.
		A high level overview of the 1998 and 1997 NIST Speaker Recognition Evaluations as was presented at the RLA2C conference in Avignon, France, in April of 1998.
	www.nist.gov /speech/tests/spk/index.htm (939 words)

	Speaker recognition - Wikipedia, the free encyclopedia
		Speaker recognition, or voice recognition is the task of recognizing people from their voices.
		Speaker recognition has a history dating back some four decades, where the output of several analog filters was averaged over time for matching.
		In a sense speaker verification is a 1:1 match where one speaker's voice is matched to one template (and possibly a general world template) whereas speaker identification is a 1:N match where the voice is matched to N templates.
	en.wikipedia.org /wiki/Voice_recognition (1062 words)

	speech recognition & speaker biometrics - J. Markowitz, Consultants (Site not responding. Last check: 2007-10-25)
		speaker identification generally, the process of finding the identity of an unknown speaker by comparing the voice of that unknown speaker with voices in a database of speakers.
		speaker adaptive speech recognition cannot be used effectively by a speaker until that speaker has provided a sample of speech to the system.
		speaker independent speech recognition can be used by people who have not first enrolled with a system or otherwise trained it to recognize their speech.
	www.jmarkowitz.com /glossary.html (866 words)

	Speaker Recognition
		Speaker recognition, which can be classified into identification and verification, is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
		Speaker identity is correlated with the physiological and behavioral characteristics of the speaker.
		In the text-prompted speaker recognition method, the recognition system prompts each user with a new key sentence every time the system is used and accepts the input utterance only when it decides that it was the registered speaker who repeated the prompted sentence.
	cslu.cse.ogi.edu /HLTsurvey/ch1node9.html (2159 words)

	S Parthasarathy's Speaker Recognition Page (Site not responding. Last check: 2007-10-25)
		The goal of my current research is to enable speaker authentication services in which the process of authentication is seamlessly combined with voice services, without the user going through an explicit authentication step.
		Speaker identification is useful in eliminating an explicit identification step in the dialog.
		Detection of anchor speakers in news broadcasts was useful in the organization of the program into news stories (sid-bn, sid-audio).
	www.research.att.com /~sps/docs/SpeakerRecognition.html (389 words)

	Speech recognition with attempted speaker recognition for speaker model prefetching or alternative speech modeling ...
		Speaker recognition is attempted on input speech signals concurrently with provision of input speech signals to a speech recognition system.
		If a speaker is recognized, a speaker dependent model which has been trained on an enrolled speaker is supplied to the speech recognition system.
		Further training of a model and/or enrollment of additional speakers may be initiated upon completion of speaker recognition and/or adaptively upon each speaker utterance.
	www.delphion.com /details?pn=US06088669__ (375 words)

	IEEE Odyssey 2006 - The Speaker and Language Recognition Workshop
		Research and development on speaker recognition methods and techniques has been undertaken for well over four decades, and it continues to be an active area.
		It is interesting to note that, although striving to extract and recognize different information from the speech signal, many of the same features and techniques successfully applied to speech recognition have also been used for speaker recognition.
		The field has matured to the point that commercial applications of speaker recognition have been steadily increasing since the mid-1980s, with a large number of companies currently offering this technology.
	www.speakerodyssey.com (380 words)

	Corpora for the Evaluation of Speaker Recognition Systems (Site not responding. Last check: 2007-10-25)
		In addition, for speaker verification experiments, a corpus may need to be large enough to specify a development set of speakers so that not all speakers are used in training system parameters, allowing for realistic, unseen imposter test speech.
		PolyVar is a speaker verification corpus comprised of native and non-native speakers of French, mainly from Switzerland.
		Speakers were asked to call from quiet and noisy locations and use various types of phones, such as cordless, cellular, and payphones.
	www.apl.jhu.edu /Classes/Notes/Campbell/SpkrRec/icassp99.htm (2097 words)

	TMA Associates - Speech Recognition News and Conference
		Speech recognition has achieved a high level of accuracy and is rapidly becoming a required part of the user interface in a number of fields.
		Speaker verification (speaker authentication, speaker recognition, Voice ID, voiceprints): A biometric identification using the quality of the person’s voice, sometimes supplemented by requiring content (such as a password or account number) known only to the person.
		However, speaker recognition can refer to discrimination of which of a number of potential speakers the voice belongs to, often requiring a different technical approach.
	www.tmaa.com (943 words)

	employee-recognition-keynote-speaker
		Recognition from your peers is the highest form of validation that your work is appreciated.
		At this point one could see the dilution of recognition because the company could no longer take the time to recognize employee since it was more concerned with keeping the award program short.
		This was a new tier, level of recognition where only a selected from the top achievers would be taken to an offsite vacation like meeting to give the president advice on what improvement could be made to better position the company.
	www.thelogicofsuccess.com /employee-recognition-keynote-speaker.htm (1186 words)

	Speaker Recognition II
		The performance of speech systems such as speaker recognition degrades drastically when there is mismatch between training and testing conditions, caused by non-linear distortion.
		To cluster speakers using the pre-computed models of their speech, a need arises for computing a distance between these models which arenormally built of a collection of distributions such as Gaussians.
		Speaker Recognition is a major task when security applications through speech input are needed.
	www.ece.umassd.edu /Faculty/acosta/ICASSP/Icassp_1998/html/ic98s206.htm (1326 words)

	Speaker Recognition - Definitions (Site not responding. Last check: 2007-10-25)
		The task of automatic speaker recognition is a classical example of a pattern recognition problem, which in general finds some kind of patterns within some real-world sensor data.
		The desired output of the system is the name of one of the training speakers, or a rejection if the test utterance stems from an unknown person.
		If the system is provided with the information that all possible test utterances belong to one of the speakers that have been learned by the system, we have a "closed set" of training speakers.
	www.speaker-recognition.org /defs.html (437 words)

	VoiceXML Review - Feature - Follow-up on the VoiceXML Forum’s Training Survey: Four Key Focus Areas
		Speaker Authentication (SA) refers to speech-processing technologies that answer the question ‘Is this person likely to be who she/he claims to be?’ Because it uses features of that person’s voice to answer the question, SA is called a biometric like automatic fingerprint or face recognition.
		Speaker verification is always synonymous with SA but SA is not always synonymous with speaker verification.
		Speaker Identification attaches an identity to the voice of an unknown speaker and does not necessarily require a claim of identity.
	www.voicexmlreview.org /Jun2005/features/speaker_auth.html (2114 words)

	automatic speaker recognition
		Automatic speaker recognition is the use of a machine to recognize a person from a spoken phrase.
		In both, verification and identification, the speaker's utterance is first analyzed, to extract some characteristic features, which are then compared with pre-trained stochastic speaker models.
		The recognition performance achieved using GSM transcoded speech is not sufficient for a practical application.
	www2.unine.ch /esplab/page2432.html (552 words)

	COMP449: Speech Recognition (Site not responding. Last check: 2007-10-25)
		Speech recognition is the process of finding a linguistic interpretation of a spoken utterance; typically this means finding the sequence of words that were spoken but, as we'll see later, there is other linguistic information that we could recover, such as prosodic cues.
		Speaker verification is used in security applications where a reliable method of identification is needed; for example for banking transactions over the telephone.
		Speaker identification might be used in a dialog system to allow tracking of multiple speakers in a dialog or to allow the system to recognise a user from earlier dialogs.
	www.ics.mq.edu.au /~cassidy/comp449/html/comp449.html (18413 words)

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