Fundamentals of Speaker Recognition

Beigi, Homayoon

doi:10.1007/978-0-387-77592-0

Cited by 234 publications

(188 citation statements)

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“…Un modelo genérico de reconocimiento por voz se divide en dos etapas, el enrolamiento inicial y la identificación [13]. El proceso de enrolamiento consiste en adquirir una muestra de voz de un usuario, luego dicha muestra es procesada con el fin de obtener las características que formarán su patrón, para finalmente ser almacenadas.…”

Section: Descripción Del Sistema De Reconocimientounclassified

Implementación de un algoritmo para la identificación de usuarios considerando problemas fisiológicos que afectan el habla

Rey-Lancheros

Gavilán-Acosta

Espitia

2017

ITECKNE Innovación E Investigación en Ingeniería

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Section: Descripción Del Sistema De Reconocimientounclassified

Implementación de un algoritmo para la identificación de usuarios considerando problemas fisiológicos que afectan el habla

Rey-Lancheros

Gavilán-Acosta

Espitia

2017

ITECKNE Innovación E Investigación en Ingeniería

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“…Speaker recognition and identification are intensively developing areas of research due to their potential applications in security systems, access management systems and forensics (Beigi, 2011a(Beigi, , 2011b. Each human has an uniquely shaped vocal tract which contributes to the individual acoustic features of voice.…”

Section: The Aims Of the Studymentioning

confidence: 99%

“…Still, it is not easy to define the "vocal print" (voice print) which would be a set of acoustic features that allow for unambiguous identification of the speaker. Most researchers seem to follow the path of gathering possibly numerous measuremets of parameters that can be extracted from the acoustic signal and then, with the use of advanced statistical methods, looking for their most efficient combinations and hierarchies that can be used in the procedure of speaker identification or recognition (Beigi, 2011b). However, as the efficiency of such an approach can be significantly limited by the quality of available voice recordings, another path is to include idiosyncratic structurallinguistic properties of utterances -e.g., the frequency of words or phrases, or the way of building sentences (e.g., Doddington, 2001; Shriberg, 2007) but also any potentially speaker-specific paralinguistic features and phenomena, including SPs and FPs.…”

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confidence: 99%

Acoustic Features of Filled Pauses in Polish Task-Oriented Dialogues

Karpiński¹

2013

Archives of Acoustics

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Filled pauses (FPs) have proved to be more than valuable cues to speech production processes and important units in discourse analysis. Some aspects of their form and occurrence patterns have been shown to be speaker-and language-specific. In the present study, basic acoustic properties of FPs in Polish task-oriented dialogues are explored. A set of FPs was extracted from a corpus of twenty taskoriented dialogues on the basis of available annotations. After initial scrutiny and selection, a subset of the signals underwent a series of pitch, formant frequency and voice quality analyses. A significant amount of variation found in the realisations of FPs justifies their potential application in speaker recognition systems. Regular monosegmental FPs were confirmed to show relatively stable basic acoustic parameters, which allows for their easy identification and measurements but it may result in less significant differences among the speakers.Keywords: filled pauses, paralinguistics, dialogue, acoustic properties, Polish. Filled pauses as paralinguistic components of spoken utterancesParalinguistic features of utterances (henceforth PLFs) were extensively explored by linguists early in the 1960s (Trager, 1960(Trager, , 1961(Trager, , 1964 Crystal, 1963 Crystal, , 1966 Crystal, , 1974 Crystal, , 1975. Since then, they have been acknowledged as an indispensible component of spoken communication. They may reveal important facts on the speaker him/herself, including his/her age, gender, origin, social background or education, as well as his/her present emotional state, attitude towards the topic of conversation or towards the conversational partner (Gobl, Ni Chasaide, 2003;Wallbott, Scherer, 1979;Pakosz, 1982;Bortfeld, 2001). Some of them may also provide cues in the analysis of the process of speech production (e.g., disfluencies (Fromkin, 1971(Fromkin, , 1973). PLFs often contribute to an individual, idiosyncratic speaking style but most people are also able to control many of them consciously.As PLFs form an extraordinarily heterogeneous group, it is difficult to cover all of them with a single definition. Moreover, they can be defined only as precisely as precise the boundaries of language can be. As a result, researchers tend to define them by enumeration and the inventories proposed in literature are often selective. Among the most frequently mentioned examples of PLFs, there are prosodic features and voice quality parameters (Crystal, 1966). Some of them can be relatively easily measured as local acoustic parameters of speech signal (energy, pitch frequency). Others can be determined only when longer stretches of speech are analysed. Finally, some of them have more "structural" nature. For example, in an emotional utterance, words may be sequenced in an atypical way, accentuation may be also uncommon. But this can be only noticed once the entire utterance is taken into account and compared to some other typical or common structures.In recent decades, many studies of paralinguistic features have been focused o...

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“…In turn, this trend has led to the development of a number of automatic speaker verification systems. For example, some of the early ones showed promise 51 , as do several of the more recent ones 5,50,59 . Unfortunately, however, very little confirmatory data -hard data, that is -about either their success or failure is available.…”

Section: The Engineersmentioning

confidence: 99%

Barriers to Progress in Speaker Identification with Comments on the Trayvon Martin Case

Hollien

2013

LESLI

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Linguistics and phonetics overlap in many areas. The essay to follow reviews some of the problems experienced by phoneticians in one of these regions. It may provide some insight for linguists when they are confronted by barriers in their own field. The present example involves individuals who are attempting to identify speakers from voice analysis. The fundamental challenge they face is, of course, caused by the thousands of variables associated with that task. Included here are differences among speakers' gender, age, size, physiology, language, dialect, psychological/health states, background/education, reason for speaking, situation, environment, configuration of the acoustic channel --plus many others. Many formal assessment procedures --both aural-perceptual ones conducted by humans or machine/computer based systems --have been proposed and/or used for the cited analyses. Unfortunately, however, few have enjoyed particularly high levels of success. Worse yet, reasonable progress has suffered from external impedances; the report to follow will outline some of them. Among the problems considered are: 1) competition (verification vs. identification, from voiceprints), 2) concept disputes 3) the continued undervaluation of relevant evidence and 4) markedly dissimilar philosophies of professionals from different disciplines. A response in the form of a short review of the data and concepts which clearly support the possibility of robust speaker identification is presented. Also included are suggestions as to how to enhance the effectiveness of disciplines such as ours.

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Fundamentals of Speaker Recognition

Cited by 234 publications

References 0 publications

Implementación de un algoritmo para la identificación de usuarios considerando problemas fisiológicos que afectan el habla

Implementación de un algoritmo para la identificación de usuarios considerando problemas fisiológicos que afectan el habla

Acoustic Features of Filled Pauses in Polish Task-Oriented Dialogues

Barriers to Progress in Speaker Identification with Comments on the Trayvon Martin Case

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