Feature extraction from analytic phase of speech signals for speaker verification

Vijayan, K and Kumar, V and Kodukula, Sri Rama Murty (2014) Feature extraction from analytic phase of speech signals for speaker verification. In: 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, 14-18 September, 2014, Max Atria at Singapore ExpoSingapore; Singapore.

Full text not available from this repository. (Request a copy)


The objective of this work is to study the speaker-specific nature of analytic phase of speech signals. Since computation of analytic phase suffers from phase wrapping problem, we have used its derivative- The instantaneous frequency for feature extraction. The cepstral coefficients extracted from smoothed subband instantaneous frequencies (IFCC) are used as features for speaker verification. The performance of IFCC features is evaluated on NIST-2003 speaker recognition evaluation database and is compared with baseline mel-frequency cepstral coefficients (MFCC). The performance of IFCC features is observed to be comparable with MFCC features in terms of equal error rates and minimum detection cost function values. Different strategies for evaluating the speaker verification performance of IFCC and MFCC are explored and it is found that the evaluation based on cosine similarity delivers better performance than other strategies under consideration.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Kodukula, Sri Rama Murtyhttps://orcid.org/0000-0002-6355-5287
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Analytic phase; Feature extraction; Instantaneous frequency; Speaker verification
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 02 Dec 2014 05:16
Last Modified: 05 Dec 2017 04:05
URI: http://raiith.iith.ac.in/id/eprint/1101
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 1101 Statistics for this ePrint Item