mirror of
https://github.com/k2-fsa/icefall.git
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105 lines
2.7 KiB
Python
Executable File
105 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Copyright (c) 2021 Xiaomi Corporation (authors: Fangjun Kuang)
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import os
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import tempfile
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import k2
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from prepare_lang import (
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add_disambig_symbols,
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generate_id_map,
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get_phones,
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get_words,
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lexicon_to_fst,
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read_lexicon,
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write_lexicon,
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write_mapping,
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)
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def generate_lexicon_file() -> str:
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fd, filename = tempfile.mkstemp()
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os.close(fd)
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s = """
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!SIL SIL
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<SPOKEN_NOISE> SPN
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<UNK> SPN
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f f
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a a
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foo f o o
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bar b a r
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bark b a r k
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food f o o d
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food2 f o o d
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fo f o
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""".strip()
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with open(filename, "w") as f:
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f.write(s)
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return filename
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def test_read_lexicon(filename: str):
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lexicon = read_lexicon(filename)
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phones = get_phones(lexicon)
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words = get_words(lexicon)
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print(lexicon)
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print(phones)
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print(words)
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lexicon_disambig, max_disambig = add_disambig_symbols(lexicon)
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print(lexicon_disambig)
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print("max disambig:", f"#{max_disambig}")
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phones = ["<eps>", "SIL", "SPN"] + phones
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for i in range(max_disambig + 1):
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phones.append(f"#{i}")
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words = ["<eps>"] + words
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phone2id = generate_id_map(phones)
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word2id = generate_id_map(words)
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print(phone2id)
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print(word2id)
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write_mapping("phones.txt", phone2id)
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write_mapping("words.txt", word2id)
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write_lexicon("a.txt", lexicon)
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write_lexicon("a_disambig.txt", lexicon_disambig)
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fsa = lexicon_to_fst(lexicon, phone2id=phone2id, word2id=word2id)
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fsa.labels_sym = k2.SymbolTable.from_file("phones.txt")
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fsa.aux_labels_sym = k2.SymbolTable.from_file("words.txt")
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fsa.draw("L.pdf", title="L")
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fsa_disambig = lexicon_to_fst(lexicon_disambig, phone2id=phone2id, word2id=word2id)
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fsa_disambig.labels_sym = k2.SymbolTable.from_file("phones.txt")
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fsa_disambig.aux_labels_sym = k2.SymbolTable.from_file("words.txt")
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fsa_disambig.draw("L_disambig.pdf", title="L_disambig")
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def main():
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filename = generate_lexicon_file()
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test_read_lexicon(filename)
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os.remove(filename)
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if __name__ == "__main__":
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main()
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