We propose novel speaker independent (SI) modeling and speaker adaptation based on a linear transformation. An SI model and speaker dependent (SD) models ...

SPEAKER NORMALIZATION AND ADAPTATION. BASED ON LINEAR TRANSFORMATION. Jun Ishii and Masahiro Tonomura. ATR Interpreting Telecommunications Research Labs. 2-2 ...

Recommendations · Frequency warping for VTLN and speaker adaptation by linear transformation of standard MFCC · A bandpass transform for speaker normalization.

We have developed a novel linear transform (LT) to implement frequency warping for standard filterbank-based MFCC features.

adaptation data. In our initial experiments, we define our TN to compute irt , the normalized speech feature, using a gen- eral linear transformation, Yt = A Y ...

Sep 8, 2016 · In this paper, we propose a simple speaker normalization for deep neural network (DNN) using i-vectors, the state-of-the-art.

A method for speaker normalization and adaption using connectionist networks is developed. A speaker-specific linear transformation of observations of the ...

In this paper, an MLLR-like adaptation approach is proposed whereby the transformation of the means is performed deter- ministically based on linearization ...

In speaker normalization, the cepstral features of speech from a given speaker are transformed to match the speaker independent HMM. In speaker adaptation, the ...

Speaker normalization and speaker adaptation are two strategies to tackle the variations from speaker, channel, and environment.