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I have a policy of never answering questions about TIMIT because the real answer for any such question is, "Don't use TIMIT, and don't base your recipes on TIMIT".
On Sat, Jun 29, 2019 at 11:24 AM subash khanal <subash....@gmail.com> wrote:
Hi all,--I am trying to use TIMIT as a base recipe for my database. I wanted to compute FMLLR features and usedsteps/nnet/make_fmllr_feats.sh data-fmllr/train data/train exp/tri3a exp/make_fmllr_feats2/log plp2/processed/
steps/nnet/make_fmllr_feats.sh data-fmllr/train data/train exp/tri3a exp/make_fmllr_feats2/log plp2/processed/It threw me error as " Invalid feature type [UNKNOWN]"The graph in tri3a is after LDA+MLLT+SAT training.I thought the steps/decode_fmllr.sh also creates fmllr transforms and used it. While decoding, I am required the conf file phones.60-48-39.map as for timit, I don't have that so instead I created three columns of all the phonemes in the my corpus (total 41 (39 + SIL + OOV) and named the file as phones.60-48-39.map, just to avoid changing its name in locations in scripts. While running the decode_fmllr I now get error " Bad line: T T T at local/timit_norm_trans.pl ..."I believe it has to do with my way of creating the phone's map. Moreover, I believe the decoding steps will make use of such maps so what should one do in using the custom phones.x-x-x.map for our corpus and still use TIMIT recipe framework?Either way, I am still unable to have FMLLR features for my dataset.Can you help me in obtaining FMLLR features from a set of features I already have (Say MFCC+DELTA+DELTA)?Any help would be highly appreciated.
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