H92-1037 phonetic HMM for each speaker in the speaker-independent training database . Thus , for each speaker
H91-1053 simultaneously estimated during the speaker-independent training process . The speaker - specific
H90-1067 sentences from 109 speakers for speaker-independent training . We trained the phonetic HMMs
H91-1080 speaker-independent system . A new paradigm for speaker-independent training has been developed . Instead
H92-1037 test-set perplexity of about 60 . The speaker-independent training speech database consists of 3990
H92-1037 clusters are constructed from the speaker-independent training database . A codeword-dependent
H89-2034 reference model . Specifi - cally , speaker-independent training for the DARPA evaluations utilizes
H93-1019 supports both speaker-dependent and speaker-independent training and evaluation . The DARPA TIMIT
H93-1009 improved language modeling and speaker-independent training . Phonetic Modeling In the current
H90-1079 system . * A new paradigm for speaker-independent training has been developed . Instead
H91-1053 interested in the problems of speaker-independent training and speaker adaptation . Therefore
H93-1015 if there is a large amount of speaker-independent training avail - able , there is no longer
H90-1060 discuss experimental results . 2 . Speaker-Independent Training 109 Speaker SI Training For several
H90-1079 speaker-dependent training or with speaker-independent training ( which requires speech from
H89-2058 speaker-dependent training or with speaker-independent training ( which requires speech from
H94-1079 speaker dependent ) and x o from speaker-independent training data . Thus E \ -LSB- ~ \ -RSB-
H92-1078 Longitudinal Speaker - Dependent , and Speaker-Independent training components as well as specifically
H91-1054 reduce speaker differences before speaker-independent training is involved such that the speaker-independent
H90-1060 for <title> A New Paradigm for Speaker-Independent Training and Speaker Adaptation </title>
H90-1039 data using the RM1 database for speaker-independent training ( 109 vs. 72 speakers ) and the
hide detail