Pronunciation Assessment of Japanese Learners of French with GOP Scores and Phonetic Information
Pronunciation Assessment of Japanese Learners of French with GOP Scores and Phonetic Information
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利用 GOP 分数和语音信息对日语法语学习者进行发音评估
DOI：
10.21437/interspeech.2016-513
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Jérôme Farinas
中科院分区：
文献类型：
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作者：
V. Laborde;Thomas Pellegrini;Lionel Fontan;J. Mauclair;Halima Sahraoui;Jérôme Farinas
在本文中，我们报告了在法语阅读语音语料库上进行的音素级自动发音评估实验，该语料库收集自 23 名学习法语作为外语的日本人。我们将基于发音良好度 (GOP) 分数和特定于音素的分数阈值的标准方法与使用逻辑回归 (LR) 模型进行比较。使用引入人工发音错误的法语母语语音语料库作为训练集。考虑了日语使用者的两个典型错误：/o/ 和 /v/，分别误读为 [l] 和 [b] 十个。当仅使用 GOP 分数和预期手机身份作为输入特征时，LR 分类器的准确率达到 64.4%，与基线阈值方法的 63.8% 准确率相似。通过添加语音和音系特征作为 LR 模型的输入，性能显着提高了 20.8%，准确率达到 77.1%。该 LR 模型还优于另一种基于原始 f-BANK 系数特征训练的线性判别模型的基线方法。
In this paper, we report automatic pronunciation assessment experiments at phone-level on a read speech corpus in French, collected from 23 Japanese speakers learning French as a foreign language. We compare the standard approach based on Goodness Of Pronunciation (GOP) scores and phone-specific score thresholds to the use of logistic regressions (LR) models. French native speech corpus, in which artificial pronunciation errors were introduced, was used as training set. Two typical errors of Japanese speakers were considered: /o/ and /v/ of ten mispronounced as [l] and [b], respectively. The LR classifier achieved a 64.4% accuracy similar to the 63.8% accuracy of the baseline threshold method, when using GOP scores and the expected phone identity as input features only. A significant performance gain of 20.8% relative was obtained by adding phonetic and phonological features as input to the LR model, leading to a 77.1% accuracy. This LR model also outperformed another baseline approach based on linear discriminant models trained on raw f-BANK coefficient features.
DOI：
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发表时间：
2015
期刊：
影响因子：
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作者：
飯島睦美;大谷みどり;築道和明;小川巌;樋口和彦;宮﨑紀雅;三浦睦美;多胡夏純・磯村一弘;宇佐美洋;Motoki Nomachi;Mitsuru Ohki;Jun Akimitsu;河野俊之・齋藤ひろみ・横溝紳一郎;石川慎一郎;波田野節子;三谷惠子;大谷みどり;池田玲子;迫田久美子;金村久美・今川博・榊原健一;Shin'ichiro Ishikawa;渡部倫子;Mitsuru Ohki
通讯作者：
Mitsuru Ohki