In conventional speaker recognition methods based on Mel-frequency cepstral coefficients (MFCCs),
phase information has hitherto been ignored. In this paper, we propose a phase …

In conventional speaker recognition method based on MFCC, the phase information has
been ignored. In this paper, we proposed a method that integrates the phase information on a …

The detection of human and spoofed (synthetic/converted) speech has started to receive
more attention. In this study, relative phase information extracted from a Fourier spectrum is …

The complete acoustic features include magnitude and phase information. However,
traditional speech emotion recognition methods only focus on the magnitude information and …

This paper describes an overview of the IR for Spoken Documents Task in NTCIR-10
Workshop. In this task, the spoken term detection (STD) subtask and ad-hoc spoken content …

… Nakagawa, “Generation of natural response timing using decision tree based on prosodic
and linguistic information”, EUROSPEECH2003, pp. 609-612, 2003. [Takeuchi 04] M. …

In this paper, a stochastic dynamic time warping method for speaker-independent recognition
is proposed and some considerations are described on speaker-independent consonant …

In conventional speaker recognition methods based on MFCC, the phase information has
been ignored. Recently, we proposed a method that integrated MFCC with the phase …

Deep neural networks (DNN) have achieved significant success in the field of speech recognition.
One of the main advantages of the DNN is automatic feature extraction without human …

This paper describes development of ERJ (English Read by Japanese) database, which is
designed to support CALL (Computer Assisted Language Learning) research. The DB is …