Blame view
egs/vystadial_cz/online_demo/Makefile
1.72 KB
8dcb6dfcb first commit |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
BEST_LINE=18 MODEL_PREFIX_URL=https://vystadial.ms.mff.cuni.cz/download/pykaldi/egs/vystadial/online_demo DATA_PREFIX_URL=https://vystadial.ms.mff.cuni.cz/download/pykaldi/egs/vystadial/online_demo # Czech language models LANG=cs HCLG=models/HCLG_tri2b_bmmi.fst AM=models/tri2b_bmmi.mdl MAT=models/tri2b_bmmi.mat # matrix trained in tri2b models WST=models/words.txt MFCC=models/mfcc.conf SILENCE=models/silence.csl $(MFCC): wget $(MODEL_PREFIX_URL)/$@ -O $@ $(SILENCE): wget $(MODEL_PREFIX_URL)/$@ -O $@ $(HCLG): wget $(MODEL_PREFIX_URL)/$@ -O $@ $(AM): wget $(MODEL_PREFIX_URL)/$@ -O $@ $(MAT): wget $(MODEL_PREFIX_URL)/$@ -O $@ $(WST): wget $(MODEL_PREFIX_URL)/$@ -O $@ data/vystadial-sample-$(LANG).tar.gz: wget $(DATA_PREFIX_URL)/$@ -O $@ data/vystadial-sample-$(LANG)/README.rst: data/vystadial-sample-$(LANG).tar.gz tar xf $< -C data touch $@ data/vystadial-sample-$(LANG)/test/input.scp: data/vystadial-sample-$(LANG)/README.rst for f in `dirname $@`/*.wav ; do echo "`basename $$f`" "`pwd`/$$f" ; done > $@ data/vystadial-sample-$(LANG)/test/input_best.scp: data/vystadial-sample-$(LANG)/test/input.scp sed -n '$(BEST_LINE)p' < $< > $@ build_scp: data/vystadial-sample-$(LANG)/test/input_best.scp data/vystadial-sample-$(LANG)/test/input.scp download_models: $(SILENCE) $(WST) $(HCLG) $(AM) $(MAT) $(MFCC) pyonline-recogniser: build_scp download_models bash run_pyonline-latgen-recogniser.sh online-recogniser: build_scp download_models bash run_online-latgen-recogniser.sh gmm-latgen-faster: build_scp download_models bash run_gmm-latgen-faster.sh live: download_models bash run_live-demo.sh clean: rm -rf *.pyc data/* models/* decode/* .PHONY: live pyonline-recogniser online-recogniser gmm-latgen-faster clean |