#!/usr/bin/env python3 """ This script compiles HLG from - H, the ctc topology, built from phones contained in data/lang/lexicon.txt - L, the lexicon, built from data/lang/L_disambig.pt Caution: We use a lexicon that contains disambiguation symbols - G, the LM, built from data/lm/G_3_gram.fst.txt The generated HLG is saved in data/lm/HLG.pt """ import k2 import torch from icefall.lexicon import Lexicon def main(): lexicon = Lexicon("data/lang") max_token_id = max(lexicon.tokens) H = k2.ctc_topo(max_token_id) L = k2.Fsa.from_dict(torch.load("data/lang/L_disambig.pt")) with open("data/lm/G_3_gram.fst.txt") as f: G = k2.Fsa.from_openfst(f.read(), acceptor=False) first_token_disambig_id = lexicon.phones["#0"] first_word_disambig_id = lexicon.words["#0"] L = k2.arc_sort(L) G = k2.arc_sort(G) print("Intersecting L and G") LG = k2.compose(L, G) print(f"LG shape: {LG.shape}") print("Connecting LG") LG = k2.connect(LG) print(f"LG shape after k2.connect: {LG.shape}") print(type(LG.aux_labels)) print("Determinizing LG") LG = k2.determinize(LG) print(type(LG.aux_labels)) print("Connecting LG after k2.determinize") LG = k2.connect(LG) print("Removing disambiguation symbols on LG") LG.labels[LG.labels >= first_token_disambig_id] = 0 assert isinstance(LG.aux_labels, k2.RaggedInt) LG.aux_labels.values()[LG.aux_labels.values() >= first_word_disambig_id] = 0 LG = k2.remove_epsilon(LG) print(f"LG shape after k2.remove_epsilon: {LG.shape}") LG = k2.connect(LG) LG.aux_labels = k2.ragged.remove_values_eq(LG.aux_labels, 0) print("Arc sorting LG") LG = k2.arc_sort(LG) print("Composing H and LG") HLG = k2.compose(H, LG, inner_labels="phones") print("Connecting LG") HLG = k2.connect(HLG) print("Arc sorting LG") HLG = k2.arc_sort(HLG) print("Saving HLG.pt to data/lm") torch.save(HLG.as_dict(), "data/lm/HLG.pt") if __name__ == "__main__": main()