155 lines
3.3 KiB
Python
155 lines
3.3 KiB
Python
""" definition of the phones to be used. """
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# phonese in {FAME}/lexicon/lex.asr
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phoneset = [
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# vowels
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'a',
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'a:',
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'e',
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'e:',
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'i',
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'i:',
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'i̯',
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'o',
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'o:',
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'ö',
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'ö:',
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'u',
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'u:',
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'ü',
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'ü:',
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#'ú', # only appears in word 'feeste'(út) and 'gaste'(út) which are 'f e: s t ə' and 'yn' in lex_asr. The pronunciation in Fries may be mistakes so I removed this phone.
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'ṷ',
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'y',
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'ɔ',
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'ɔ:',
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'ɔ̈',
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'ɔ̈:',
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'ə',
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'ɛ',
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'ɛ:',
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'ɪ',
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'ɪ:',
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# plosives
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'p',
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'b',
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't',
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'd',
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'k',
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'g',
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'ɡ', # = 'g'
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# nasals
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'm',
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'n',
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'ŋ',
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# fricatives
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'f',
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'v',
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's',
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's:',
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'z',
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'x',
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'h',
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# tap and flip
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'r',
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'r:',
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# approximant
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'j',
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'l'
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]
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## reduce the number of phones.
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# the phones which seldom occur are replaced with another more popular phones.
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# replacements are based on the advice from Martijn Wieling.
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reduction_key = {
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'y':'i:', 'e':'e:', 'ə:':'ɛ:', 'r:':'r', 'ɡ':'g',
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# aki added because this is used in stimmen_project.
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'ɔ̈:':'ɔ:'
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}
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# already removed beforehand in phoneset. Just to be sure.
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phones_to_be_removed = ['ú', 's:']
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def phone_reduction(phones):
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"""
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Args:
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phones (list): list of phones.
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"""
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if sum([phone in phones for phone in phones_to_be_removed]) != 0:
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print('input includes phone(s) which is not defined in fame_asr.')
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print('those phone(s) are removed.')
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return [reduction_key.get(i, i) for i in phones
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if i not in phones_to_be_removed]
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phoneset_short = list(set(phone_reduction(phoneset)))
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phoneset_short.sort()
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## translation_key to htk format (ascii).
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# phones which gives UnicodeEncodeError when phone.encode("ascii")
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# are replaced with other characters.
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translation_key_asr2htk = {
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'i̯': 'i_',
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'ṷ': 'u_',
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# on the analogy of German umlaut, 'e' is used.
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'ö': 'oe', 'ö:': 'oe:', ''
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'ü': 'ue', 'ü:': 'ue:',
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# on the analogy of Chinese...
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'ŋ': 'ng',
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# refer to Xsampa.
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'ɔ': 'O', 'ɔ:': 'O:', 'ɔ̈': 'Oe',
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#'ɔ̈:': 'O:', # does not appear in FAME, but used in stimmen.
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'ɛ': 'E', 'ɛ:': 'E:',
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'ɪ': 'I', 'ɪ:': 'I:',
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# it is @ in Xsampa, but that is not handy on HTK.
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'ə': 'A'
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}
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phoneset_htk = [translation_key_asr2htk.get(i, i) for i in phoneset_short]
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#not_in_ascii = [
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# '\'',
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# 'â', 'ê', 'ô', 'û', 'č',
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# 'à', 'í', 'é', 'è', 'ú', 'ć',
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# 'ä', 'ë', 'ï', 'ö', 'ü'
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#]
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translation_key_word2htk = {
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#'\'': '\\\'',
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'í':'i1', 'é':'e1', 'ú':'u1', 'ć':'c1',
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'à':'a2', 'è':'e2',
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'â':'a3', 'ê':'e3', 'ô':'o3', 'û':'u3',
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'č':'c4',
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'ä': 'ao', 'ë': 'ee', 'ï': 'ie', 'ö': 'oe', 'ü': 'ue',
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}
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#[translation_key_word2htk.get(i, i) for i in not_in_ascii]
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#Stop: p, b, t, d, k, g
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#Nasal: m, n, ng(ŋ)
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#Fricative: s, z, f, v, h, x
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#Liquid: l, r
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#Vowel: a, a:, e:, i, i:, i_(i̯), o, o:, u, u:, u_(ṷ), oe(ö), oe:(ö:), ue(ü), ue:(ü:), O(ɔ), O:(ɔ:), Oe(ɔ̈), A(ə), E(ɛ), E:(ɛ:), I(ɪ), I:(ɪ:)
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## the list of multi character phones.
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# for example, the length of 'a:' is 3, but in the codes it is treated as one letter.
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# original.
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multi_character_phones = [i for i in phoneset if len(i) > 1]
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multi_character_phones.sort(key=len, reverse=True)
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# phonset reduced.
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multi_character_phones_short = [i for i in phoneset_short if len(i) > 1]
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multi_character_phones_short.sort(key=len, reverse=True)
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# htk compatible.
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multi_character_phones_htk = [i for i in phoneset_htk if len(i) > 1]
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multi_character_phones_htk.sort(key=len, reverse=True)
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