Speaker Verification with Shifted Delta Cepstral Features: Its Pseudo-Prosodic Behavior
نویسندگان
چکیده
This paper examines the linear relation between Shifted Delta Cepstral (SDC) features and the dynamic of prosodic features. SDC features were reported to produce superior performance to ∆ features in Language Identification and speaker recognition systems. A selection of more correlated SDC features is used in speaker verification to evaluate its robustness to channel/handset mismatch. The experiment reflects superior performance of selected SDC features regarding to features in speaker verification using speech samples from NIST 2001 Ahumada database.
منابع مشابه
Application of shifted delta cepstral features in speaker verification
Recently, Shifted Delta Cepstral (SDC) feature was reported to produce superior performance to the delta and delta-delta features in cepstral feature based language identification (LID) systems [1, 2]. This paper examines the application of SDC features in speaker verification and evaluates its robustness to channel mismatch, manner of speaking and session variability. The result of the experim...
متن کاملSelection of the best set of shifted delta cepstral features in speaker verification using mutual information
Shifted delta cepstral (SDC) features, obtained by concatenating delta cepstral features across multiples speech frames, were recently reported to produce superior performance to delta cepstral features in language and speaker recognition systems. In this paper, the use of SDC features in a speaker verification experiment is reported. Mutual information between SDC features and identity of a sp...
متن کاملComparing prosodic models for speaker recognition
Recently, speaker verification systems using different kinds of prosodic features have been proposed. Although it has been shown that most of these speaker verification systems can improve system performance using score-level fusion with stateof-the-art cepstral-based systems, a systematic comparison of the prosodic modelling algorithms used in these prosodic systems has not yet been performed....
متن کاملMulti-System Fusion of Extended Context Prosodic and Cepstral Features for Paralinguistic Speaker Trait Classification
As automatic speech processing has matured, research attention has expanded to paralinguistic speech problems that aim to detect beyond-the-words information. This paper focuses on the identification of seven speaker trait categories from the Interspeech Speaker Trait Challenge: likeability, intelligibility, openness, conscientiousness, extraversion, agreeableness, and neuroticism. Our approach...
متن کاملNoise robust speaker verification with delta cepstrum normalization
This paper introduces a delta cepstrum normalization (DCN) technique for speaker verification under noisy conditions. Cepstral feature normalization techniques are widely used to mitigate spectral variations caused by various types of noise; however, little attention has been paid to normalizing delta features. A DCN technique that normalizes not only base features but also delta-features was r...
متن کامل