Machine Learned Ranking approaches have shown successes in web search engines. With
the increasing demands on developing effective ranking functions for different search …

A new maximum likelihood training algorithm is proposed that compensates for weaknesses
of the EM algorithm by using cross-validation likelihood in the expectation step to avoid …

In a voice transformation context, prosody transformation using parallel corpora is quite
unrealistic as such corpora are difficult and also expensive to build. Based on this …

In this paper we briefly describe the BioSec multimodal biometric database and analyze its
use in automatic text-dependent speaker recognition research. The paper is structured into …

In this paper a novel method for speaker adaptive training (SAT), based on Gaussian mean
offset adaptation, so called Shift-MLLR, is presented. The method differs from previous SAT …

In this paper, a Yunnan dialectal accents Putonghua speech corpus which collected by our
lab is used in Yunnan dialectal Chinese speech recognition study. Several acoustic …

This paper deals with the use of speaker adaptation methods in the broadcast news
transcription task, which is very difficult from speaker adaptation point of view. It is because …

For the analysis and retrieval of multimedia data, machine learning techniques have been
extensively applied to build models that map various feature vectors of the data into …

The filter tree, a new reduction scheme for the N-class classification problem, has been
recently developed by Beygelzimer et al. Filter trees have been proven to be both robust and …

Car navigation systems are getting more and more popular and many of them equip a
speech recognition system for hands-free interface. However, the speech input interface is …