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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/16657
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| タイトル: | Speech Emotion Recognition Using Speech Feature and Word Embedding |
| 著者: | Atmaja, Bagus Tris
Shirai, Kiyoaki
Akagi, Masato |
| 発行日: | 2019-11-19 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) |
| 開始ページ: | 519 |
| 終了ページ: | 523 |
| DOI: | 10.1109/APSIPAASC47483.2019.9023098 |
| 抄録: | Emotion recognition can be performed automatically from many modalities. This paper presents a categorical speech emotion recognition using speech feature and word embedding. Text features can be combined with speech features to improve emotion recognition accuracy, and both features can be obtained from speech. Here, we use speech segments, by removing silences in an utterance, where the acoustic feature is extracted for speech-based emotion recognition. Word embedding is used as an input feature for text emotion recognition and a combination of both features is proposed for performance improvement purpose. Two unidirectional LSTM layers are used for text and fully connected layers are applied for acoustic emotion recognition. Both networks then are merged by fully connected networks in early fusion way to produce one of four predicted emotion categories. The result shows the combination of speech and text achieve higher accuracy i.e. 75.49% compared to speech only with 58.29% or text only emotion recognition with 68.01%. This result also outperforms the previously proposed methods by others using the same dataset on the same modalities. |
| Rights: | This is the author's version of the work. Copyright (C) 2019 IEEE. 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019, pp.519-523. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/16657 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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このアイテムのファイル:
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記述 |
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| APSIPA_2019_519.pdf | | 127Kb | Adobe PDF | 見る/開く |
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