P03-1020 From this perspective , either accent identification can be extended to truecasing
N09-5003 integration of several speaker accent identification algorithms . We will also be
N09-2021 analysis within the larger task of accent identification . Our 84.2 % accuracy is significantly
W02-0714 conditions . For language and accent identification , phone recognition together
W02-0714 almost 90 % . The speaker and accent identification experiments were carried out
N09-2021 Specifically , we compare pitch accent identification at the syl - lable , vowel or
N13-2005 samples . Native language and accent identification from speech can be found in (
W02-0714 audio ( SID rate in % ) 3.2 . Accent Identification ( AID ) In previous experiments
W02-0714 AID ) In previous experiments on accent identification we used the MPM-pp approach to
W02-0714 applications of this approach , accent identification requires no hand-transcription
N01-1031 1996 ) also used HMMs in a 6-way accent identification task , training a full set of
W14-4326 resource languages , automatic accent identification System Predicted Researcher-Interests
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