Fifty years of progress in speech and speaker recognition furui, sadaoki. Pdf selected topics from 40 years of research on speech and. May 04, 2018 a study of digital speech processing, synthesis and recognition. An overview of textindependent speaker recognition. A speaker recognition sr system measures the attributes of a persons voice or speech in order to make an assessment regarding that persons identity. Speakerindependent isolated word recognition using dynamic features of speech spectrum.
This second edition contains new sections on the international standardization of robust and flexible speech coding techniques, waveform unit concatenationbased speech synthesis, large vocabulary continuousspeech recognition based on statistical pattern recognition, and more. Pdf 50 years of progress in speech and speaker recognition. Fifty years of progress in speech and speaker recognition. We focus on the problem of speech recognition in the presence of nonstationary sudden noise, which is very likely to happen in home environments. Speaker recognition is a process where a person is recognized on the basis of hisher voice signals 1. This paper presents a brief survey on automatic speech recognition and discusses the major themes and advances made in the past 60 years of research, so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech communication. Digital speech processing, synthesis and recognition, 2nd edition.
He is engaged in research on speech recognition and speaker recognition. Selected topics from 40 years of research on speech andk. Speaker recognition is the process of recognizing automatically who is speaking on the basis of individual information included in speech waves. Recent advances in speaker recognition sciencedirect. All content in this area was uploaded by sadaoki furui on aug 05, 2014. Labs in 1970, he has worked on speech analysis, speech recognition, speaker recognition, sp eech synthesis, speech perception, and multimodal humancomputer. The donation is used to promote and recognize high quality papers published in the apsipa transactions on signal and information processing, through. Proposal sadaoki furui, 1 march 2011 call for papers ieee signal processing magazine special issue on fundamental technologies in modern speech recognition guest editors.
He is engaged in a wide range of research on speech analysis, speech recognition, speaker recognition, speech synthesis, and multimodal humancomputer interaction and has authored or coauthored over 450 published articles. This paper surveys the major themes and advances made in the past. Pdf selected topics from 40 years of research on speech. After years of research and development the accuracy of automatic speech. Ecti transactions on computer and information technology ecticit 1. List of computer science publications by sadaoki furui. Systematization and application of largescale knowledge. Digital speech processing, synthesis, and recognition by furui, sadaoki. Generations of asr technology 1950 1960 1970 1980 1990 2000 2010 1952 1g. Speaker recognition can be divided into speaker identification and verification, and into text. Since variation of speech features over time is a serious problem in speaker recognition, normalization and adaptation techniques are also described.
Optimizing spectral feature based textindependent speaker. Author links open overlay panel tomoko matsui a sadaoki furui b. A study of digital speech processing, synthesis and recognition. This technique makes it possible to use the speaker s voice to verify their identity and control access to. Introduction speaker recognition is a multidisciplinary technology which uses the vocal characteristics of speakers to deduce information about their identities. Speechpy a library for speech processing and recognition. In this paper we provide a brief overview for evolution of pattern classification technique used in speaker recognition.
Speaker recognition free engineering essay essay uk. An overview of speaker recognition technology sadaoki furui ntt human interface laboratories, tokyo, japan this paper overviews recent advances in speaker recognition technology. Sadaoki furui is currently a professor at tokyo institute of technology, department of computer science. Selected topics from 40 years of research on speech andk itid. Front matter voice communication between humans and. Speaker recognition can be classified into speaker identification and verification, and most of the application systems fall into the speaker verification category. This paper predicts speech synthesis, speech recognition, and speaker recognition technology for the year 2001, and it describes the most important research problems to be solved in order to arrive at these ultimate synthesis and recognition systems. Sadaoki furui, comparison of speaker recognition methods using statistical features and dynamic features, ieee transactions on acoustic, speech and. This paper surveys the major themes and advances made in the past fifty years of research. Optimizing spectral feature based textindependent speaker recognition academic dissertation to be presented, with the permission of the faculty of science of the university of joensuu, for public criticism in the louhela auditorium of the science park, l. Many applications have been considered for speaker recognition.
Speaker recognition homayoon beigi recognition technologies, inc. Sadaoki, furui, speaker independent isolated word recognition using dynamic features of speech spectrum, ieee transactions on acoustic, speech and signal. Nbestbased unsupervised speaker adaptation for speech recognition. Audiovisual speech recognition using lip information.
Speech and speaker recognition evaluation springerlink. Parallelization strategy of speaker identification system for. This paper surveys the major themes and advances made in the past fifty years of research so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech communication. Spontaneous speech corpus of japanese kikuo maekawa, hanae koiso, sadaoki furui, hitoshi isahara 7kh national language research institute 3914 nishigaoka, kitaku, tokyo 1158620 japan. Speaker recognition is the process of automatically recognizing who is speaking using speaker specific information in speech waves. Robust speech recognition using factorial hmms for home. Although many techniques have been developed, many. Our proposed method assumes that lip images can be captured using a small camera installed in a handset. The past, present, and future of speech processing. Comparison of speech normalization techniques david mccarten e6820 student, columbia university march 9, 2008 1. Selected topics from 40 years of research on speech andk itid speaker recognition sadaoki furui tokyygyo institute of technology department of computer science. Ppt speech recognition powerpoint presentation free to. The progress can be summarized by the following changes. An overview of speaker recognition technology semantic.
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. Title an overview of speaker recognition technology. Digital speech processing, synthesis, and recognition. Speaker recognition in a multi speaker environment alvin f martin, mark a. Since variation of speech features over time is a serious problem in speaker recognition, normalization and adaptation techniques are.
Sadaoki furui, in humancentric interfaces for ambient intelligence, 2010. Digital speech processing, synthesis, and recognition signal processing and communications series editor k. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Digital speech processing synthesis, and recognition. Research in automatic speech and speaker recog nition has now spanned five decades. This paper introduces recent advances in speaker recognition technology. Tokyo, where he obtained a masters degree in 1970 and affiliated with ntt elect.
Article book information title an overview of speaker recognition technology authors sadaoki furui citation esca workshop on automatic speaker recognition, identification and. There are dynamic time warping dtw, vector quantization vq, hidden markov models, gaussian mixture model gmm, support vector machine svm sadaoki furui, 1997and so forth. The electrical engineering handbook series series editor richard c. Sadaoki furui is currently the president of toyota technological institute at chicago, usa. They include vq and ergodichmmbased textindependent recognition methods, a textprompted recognition method, parameter. Ieee workshop on spontaneous speech processing and recognition 2003.
Audiovisual speech and speaker recognition audiovisual speech and speaker recognition. Discussion related to the development of speaker recognition systems which are robust to spoofing, noise, channel variability, intrinsic variability, etc. This paper surveys the major themes and advances made in the past fifty years of research so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of. Toward the ultimate synthesisrecognition system voice. Parallelization strategy of speaker identification system. Speaker recognition is the process of automatically recognizing who is speaking using speakerspecific information in speech waves. Digital speech processing, synthesis, and recognition by furui, sadaoki, 1945. Selected topics from 40 years of research on speech and speaker recognition. We also introduced filledpause modeling into the language model. The second part of the paper is devoted to discussion of more specific topics of recent interest which have. Getting to know your fellow researchers sadaoki furui. In this paper, we report on language modeling and acoustic modeling studies for japanese broadcast news speech recognition. Among various information conveyed by spoken utterances, linguistic information about meanings that the speaker wanted to express and individuality information about the speaker are most basic and important for human communication.
Ieee transactions on acoustics, speech, and signal. Speaker recognition an overview sciencedirect topics. The first part of the paper discusses general topics and issues. Two different kinds of lip features, lipcontour geometric features and lipmotion velocity features, are. This paper proposes an instantaneous speaker adaptation method that uses nbest decoding for continuous mixturedensity hiddenmarkovmodelbased speech recognition systems. The kluwer international series in engineering and computer science vlsi, computer architecture and digital signal processing, vol 355.
He is a fellow of the ieee, the international speech communication association isca, the institute of. This paper proposes an audiovisual speech recognition method using lip information extracted from sideface images as an attempt to increase noise robustness in mobile environments. This chapter overviews recent advances in speaker recognition technology. Nbestbased unsupervised speaker adaptation for speech. Sadaoki furui department of computer science tokyo.
The second part is devoted to a discussion of more specific topics of recent interest that have led to interesting new approaches and techniques. In 1981 sadaoki furui published results of another bell laboratory study 26. View sadaoki furui s professional profile on relationship science, the database of decision makers. Sadaoki furui, former president at toyota technological. Research in automatic speech and speaker recognition has now spanned five decades.
Speaker recognition is the process of automatically recognizing who is speaking by using the speaker specific information included in speech waves to verify identities being claimed by people accessing systems. I n addition, the recent research work related to the development of speaker diarization and countermeasures against spoofing and tampering attacks will also. Ieee transactions on acoustics, speech, and signal processing, 341. Furui and others published digital speech processing, synthesis, and recognition find, read and cite all the research you need on researchgate. This paper sur veys the major themes and advances made in the past fifty years of research so as to provide a tech nological perspective and an appreciation of the. Parallelization strategy of speaker identification system for hybrid modeling abstract over the last decade technological advances have made speaker recognition brought a significant characteristic in forensics science and biometric identifications. Also discussed propose process to modeling a speaker recognition system, which. Automatic speech and speaker recognition, 3156, 1996. Speaker recognition is a process where a person is recognized on the basis of hisher voice signals. Pdf fifty years of progress in speech and speaker recognition.
Sadaoki furui department of computer science tokyo institute. Test setup with sphinx4 speech recognition system 6. Speaker independent isolated word recognition using dynamic features of speech spectrum. Sadaoki furui is former president at toyota technological institute at chicago. Sadaoki furui tokyo institute of technology, tokyo.
Modeling of perceptual speaker embedding and its application to speech and speaker recognition. Publication date 1989 topics speech processing systems publisher new york. Apsipa sadaoki furui prize paper award professor sadaoki furui was the apsipa founding president 2009 to 2012. Comparison of speaker recognition methods using statistical features and. A distance measure for speech recognition based on an fm. The first part discusses general topics and issues. Speech and speaker recognition evaluation 1 sadaoki furui 1. The first part of the chapter discusses general topics and issues. We constructed a language model that reduces recognition errors by utilizing contextdependent readings of japanese characters. Building robust speaker recognition systems are often difficult because speech signal is dynamic and influenced by many sources of variation. Abstract speaker recognition is the process of identifying a person through hisher voice signals or. After joining the nippon telegraph and telephone corporation ntt labs in 1970, he has worked on speech analysis, speech recognition, speaker recognition, speech synthesis, speech perception, and multimodal humancomputer interaction. Speech and speaker recognition technology has made very significant progress in the past 50 years. Dorf university of california, davis titles included in the series the handbook of ad hoc wireless networks, mo.
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