Analysis of acoustic features affecting speaker identification.
نویسندگان
چکیده
منابع مشابه
Effect of speaker familiarity and background noise on acoustic features used in speaker identification
In order to investigate the relationship between human perception in speaker identi cation and acoustic features (fundamental frequency (f0), spectrum, and duration) under various communication conditions, this paper describes several perception experiments and an approach to predict the perceptual contribution rate of each feature. Factors taken into account in this paper are: (1) speaker fami...
متن کاملAcoustic and Facial Features for Speaker Recognition
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features. Experiments are carried out using a corpus of the DAVID audio-visual database. Recognition accuracy is found to be similar in the 2 domains. The geometric visual feature is based on a method of signature coding of th...
متن کاملSpeaker Identification using FM Features
The AM-FM modulation model of speech is a nonlinear model that has been successfully used in several branches of speech-related research. However, the significance of the AM-FM features extracted from this model has not been fully explored in applications such as speaker identification systems. This paper shows that frequency modulation (FM) features can improve speaker identification accuracy....
متن کاملRobust FHPD Features from Speech Harmonic Analysis for Speaker Identification
Speaker identification accuracy decreases significantly in the presence of additive noise. In this paper, we propose a robust speech feature extraction method, which is based on the harmonic structure of voiced segments. The robust features are composed of fundamental and harmonic peak data from short-time spectrum. These features are evaluated by thirty speaker data from TIMIT database and add...
متن کاملSpeaker Identification – Comparing Linear Regression Based Adaptation and Acoustic High-Level Features
In this work two different approaches for speaker identification are presented. Both systems are evaluated and compared on subsets of the WSJ database [1] containing 10 native (SI ET H2) and 10 non-native (SI ET S3) speakers. Both sets cover spontaneous spoken material, half from men and half from women. For each speaker between 61 and 82 samples with lengths varying from 2s up to 16s were prov...
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: Journal of the Acoustical Society of Japan (E)
سال: 1996
ISSN: 0388-2861,2185-3509
DOI: 10.1250/ast.17.33