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56 lines
1.5 KiB
56 lines
1.5 KiB
import os |
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os.chdir(r'C:\Users\Aki\source\repos\acoustic_model\acoustic_model') |
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import sys |
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import csv |
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#import subprocess |
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#from collections import Counter |
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#import re |
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import numpy as np |
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import pandas as pd |
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#import matplotlib.pyplot as plt |
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#from sklearn.metrics import confusion_matrix |
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import acoustic_model_functions as am_func |
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import convert_xsampa2ipa |
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import defaultfiles as default |
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from forced_alignment import pyhtk |
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import novoapi |
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## ======================= convert phones ====================== |
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mapping = convert_xsampa2ipa.load_converter('xsampa', 'ipa', default.ipa_xsampa_converter_dir) |
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stimmen_transcription_ = pd.ExcelFile(default.stimmen_transcription_xlsx) |
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## novo phoneset |
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translation_key = dict() |
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#phonelist_novo70_ = pd.ExcelFile(default.phonelist_novo70_xlsx) |
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#df = pd.read_excel(phonelist_novo70_, 'list') |
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## *_simple includes columns which has only one phone in. |
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#for ipa, novo70 in zip(df['IPA_simple'], df['novo70_simple']): |
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# if not pd.isnull(ipa): |
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# print('{0}:{1}'.format(ipa, novo70)) |
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# translation_key[ipa] = novo70 |
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#phonelist_novo70 = np.unique(list(df['novo70_simple'])) |
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phoneset_ipa = [] |
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phoneset_novo70 = [] |
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with open(default.cmu69_phoneset, "rt", encoding="utf-8") as fin: |
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lines = fin.read() |
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lines = lines.split('\n') |
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for line in lines: |
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words = line.split('\t') |
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if len(words) > 1: |
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novo70 = words[0] |
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ipa = words[1] |
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phoneset_ipa.append(ipa) |
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phoneset_novo70.append(novo70) |
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translation_key[ipa] = novo70 |
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phoneset_ipa = np.unique(phoneset_ipa) |
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phoneset_novo70 = np.unique(phoneset_novo70) |
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