Perception of speaker identity is an important characteristic of the human auditory system. This paper describes a subjective test for the investigation of the relevance of four acoustic features in this process: vocal tract, pitch, duration, and energy. PSOLA based methods provide the framework for the transplantations of these acoustic features between two speakers. The test database consists...

Voice morphing is a name given to procedures which take speech as input from one speaker and attempt to generate speech that sounds like it came from another speaker. One compelling argument for good voice morphing is that it lessens the trouble in creating additional synthetic voices with new characters and styles once an existing voice has been created based on a full-sized corpus. There are ...

In this paper, we proposed the principal component analysis (PCA) fuzzy mixture model for speaker identification. A PCA fuzzy mixture model is derived from the combination of the PCA and the fuzzy version of mixture model with diagonal covariance matrices. In this method, the feature vectors are first transformed by each speaker’s PCA transformation matrix to reduce the correlation among the el...

Perception of speaker identity is an important characteristic of the human auditory system. This paper describes a subjective test for the investigation of the relevance of four acoustic features in this process: vocal tract, pitch, duration, and energy. PSOLA based methods provide the framework for the transplantations of these acoustic features between two speakers. The test database consists...

In speaker verification over public telephone networks, utterances can be obtained from different types of handsets. Different handsets may introduce different degrees of distortion to the speech signals. This paper attempts to combine a handset selector with (1) handset-specific transformations and (2) handset-dependent speaker models to reduce the effect caused by the acoustic distortion. Spe...

The LPC-Intonation model presented here is dedicated to integrate speaker-dependent features into F0 modeling and analysis. It has been developed for an additional prosodic speaker-transformation based on the commandresponse approach for intonation features [1,2,3]. The basic principles of this integrated method for automatic analysis, coding, prediction and generation of F0 contours have alrea...

In a speaker-independent, large-vocabulary continuous speech recognition systems, recognition accuracy varies considerably from speaker to speaker, and performance may be significantly degraded for outlier speakers such as nonnative talkers. In this paper, we explore supervised speaker adaptation and normalization in the MLP component of a hybrid hidden Markov model/ multilayer perceptron versi...

This paper presents a feature parameter transformation method using ICA (independent component analysis) for text independent speaker identification of telephone speech. ICA is a signal processing technique which can separate linearly mixed signals into statistically independent signals. The proposed method transforms them into new vectors using ICA assuming that the cepstrum vectors of the tel...

Confidence scoring is an important component in speaker diarization systems, both for offline speech analytics and for online diarization that are required to produce the speaker segmentation from very little audio. This paper proposes a confidence measure for speaker diarization based on the spectral ratio of the eigenvalues of the Principal Component Analysis (PCA) transformation computed on ...