Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent Dictionaries

In Japanese text-to-speech (TTS), it is necessary to add accent information to the input sentence. However, there are a limited number of publicly available accent dictionaries, and those dictionaries e.g. UniDic, do not contain many compound words, proper nouns, etc., which are required in a practical TTS system. In order to build a large scale accent dictionary that contains those words, the authors developed an accent estimation technique that predicts the accent of a word from its limited information, namely the surface (e.g. kanji) and the yomi (simplified phonetic information). It is experimentally shown that the technique can estimate accents with high accuracies, especially for some categories of words. The authors applied this technique to an existing large vocabulary Japanese dictionary NEologd, and obtained a large vocabulary Japanese accent dictionary. Many cases have been observed in which the use of this dictionary yields more appropriate phonetic information than UniDic.Comment: 7 pages, 2 figures. IEEE ICASSP 202

Building a Kansai accent dictionary using YouTube

会議名: 言語資源ワークショップ2023, 開催地: オンライン, 会期: 2023年8月28日-29日, 主催: 国立国語研究所 言語資源開発センター本稿では、YouTube上のユーザー生成コンテンツを用いた、大阪方言アクセント辞書作成の試みを紹介する。動画から音声データを抽出し、書き起こし、書き起こした音声をもとにforced alignmentをおこなった。各セグメントのピッチを測定し、ピッチパターンを自動検出した。本稿では、1つの動画を用いたこの処理の予備的な適用例について述べる。application/pdf上智大学大学院 / 東京医科歯科大学Sophia University / Tokyo Medical and Dental UniversityThis paper presents an attempt to create an accent dictionary of the Osaka dialect using user-generated content on YouTube. Speech data were extracted from videos, transcribed, and force-aligned based on the transcribed speech. The pitch of each segment was measured, and the pitch patterns were automatically detected. This paper discusses the preliminary application of the process for a single video.conference pape

Proceedings of Language Resources Workshop 2023

会議名: 言語資源ワークショップ2023, 開催地: オンライン, 会期: 2023年8月28日-29日, 主催: 国立国語研究所 言語資源開発センターapplication/pdfconference pape