منابع مشابه
Gender Identification by Voice
Gender identification by voice is useful in speech-based recognition systems which employ gender-dependent models. Vogt and André [1] suggested that gender differentiation help improve automatic emotion recognition from speech. Harb and Chen [2] reported that classifying speaker’s gender is an important task in the context of multimedia indexing. Our paper will examine the applicability of stan...
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An automatic gender recognition algorithm based on machine learning methods is proposed. It consists of two stages: adaptive feature extraction and support vector machine classification. Both training technique of the proposed algorithm and experimental results acquired on a large image dataset are presented.
متن کاملIndividual identification via electrocardiogram analysis
BACKGROUND During last decade the use of ECG recordings in biometric recognition studies has increased. ECG characteristics made it suitable for subject identification: it is unique, present in all living individuals, and hard to forge. However, in spite of the great number of approaches found in literature, no agreement exists on the most appropriate methodology. This study aimed at providing ...
متن کاملSpeaker's identification by voice
Since the early 70's many experimental sturlies have pointed out the existence of a close relationship between the acousticcharacteristics ofvoice and the physical features of the speaker. The purpose of this study is to determine, on one band, whether listeners are capable of identifying age, weight and height of speakers; on the other hand, to verify on the basis of perceptive tests, whether ...
متن کاملIdentification of voice pathology using automated speech analysis
The classification performance of an automatic classifier of voice pathology for the detection of normal and pathologic voice types is presented. The proposed classification system is non-intrusive and fully automated. Speech files of sustained phonation of the vowel sound /a/ in the 'Disordered Voice Database Model 4337' provided 631 subjects of both genders (58 normal, 573 pathologic). This d...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
سال: 2019
ISSN: 2456-3307
DOI: 10.32628/cseit1952188