Automatic Speaker Authentication Using Speech Recognition Techniques
نویسندگان
چکیده
منابع مشابه
Speaker Adaptation Techniques for Automatic Speech Recognition
Statistical speech recognition using continuousdensity hidden Markov models (CDHMMs) has yielded many practical applications. However, in general, mismatches between the training data and input data significantly degrade recognition accuracy. Various acoustic model adaptation techniques using a few input utterances have been employed to overcome this problem. In this article, we survey these ad...
متن کاملAutomatic Speaker Recognition Using Msvq-coded Speech
Low bitrate speech coding nds application in both telecommunications (band-width compression) and archival ((le compression). Speaker veriication is used in telecom-munication applications (to gain access to particular services, for example) and implies that either or both of the speech data streams (incoming and reference) may be compressed. In this paper, we investigate the eeect of high comp...
متن کاملOverview of speech enhancement techniques for automatic speaker recognition
Real world conditions differ from ideal or laboratory conditions, causing mismatch between training and testing phases, and consequently, inducing performance degradation in automatic speaker recognition systems [1]. Many strategies have been adopted to cope with acoustical degradation; in some applications of speaker identification systems a clean sample of speech, prior to the recognition sta...
متن کاملSpeaker Variability in Automatic Speech Recognition
i Preface In the report, the natural logarithm is denoted with log, and the base is stated otherwise. If both time and vector indices are used, the variable h j (k) is the j'th coefficient at time index k, where the bold face represent a vector. Literature references are represented with numbers in IEEE style, e.g. [number], and a the full list of references is found in the References section. ...
متن کاملSpeaker-Invariant Features for Automatic Speech Recognition
In this paper, we consider the generation of features for automatic speech recognition (ASR) that are robust to speaker-variations. One of the major causes for the degradation in the performance of ASR systems is due to inter-speaker variations. These variations are commonly modeled by a pure scaling relation between spectra of speakers enunciating the same sound. Therefore, current state-of-th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1967
ISSN: 0001-4966
DOI: 10.1121/1.2144065