2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)最新文献

筛选
英文 中文
Audio Caption in a Car Setting with a Sentence-Level Loss 具有句子级丢失的汽车设置中的音频字幕
2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP) Pub Date : 2019-05-01 DOI: 10.1109/ISCSLP49672.2021.9362117
Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu
{"title":"Audio Caption in a Car Setting with a Sentence-Level Loss","authors":"Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu","doi":"10.1109/ISCSLP49672.2021.9362117","DOIUrl":"https://doi.org/10.1109/ISCSLP49672.2021.9362117","url":null,"abstract":"Captioning has attracted much attention in image and video understanding while a small amount of work examines audio captioning. This paper contributes a Mandarin-annotated dataset for audio captioning within a car scene. A sentence-level loss is proposed to be used in tandem with a GRU encoder-decoder model to generate captions with higher semantic similarity to human annotations. We evaluate the model on the newly-proposed Car dataset, a previously published Mandarin Hospital dataset and the Joint dataset, indicating its generalization capability across different scenes. An improvement in all metrics can be observed, including classical natural language generation (NLG) metrics, sentence richness and human evaluation ratings. However, though detailed audio captions can now be automatically generated, human annotations still outperform model captions on many aspects.","PeriodicalId":279828,"journal":{"name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134090603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Towards Realizing Sign Language to Emotional Speech Conversion by Deep Learning 用深度学习实现手语到情感语言的转换
2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP) Pub Date : 2018-09-21 DOI: 10.1109/ISCSLP49672.2021.9362060
Nan Song, Hongwu Yang, Pengpeng Zhi
{"title":"Towards Realizing Sign Language to Emotional Speech Conversion by Deep Learning","authors":"Nan Song, Hongwu Yang, Pengpeng Zhi","doi":"10.1109/ISCSLP49672.2021.9362060","DOIUrl":"https://doi.org/10.1109/ISCSLP49672.2021.9362060","url":null,"abstract":"This paper proposes a framework of sign language to emotional speech conversion based on deep learning to solve communication disorders between people with language barriers and healthy people. We firstly trained a gesture recognition model and a facial expression recognition model by a deep convolutional generative adversarial network (DCGAN). Then we trained an emotional speech acoustic model with a hybrid long short-term memory (LSTM). We select the initials and the finals of Mandarin as the emotional speech synthesis units to train a speaker-independent average voice model (AVM). The speaker adaptation is applied to train a speaker-dependent hybrid LST-M model with one target speaker emotional corpus from AVM. Finally, we combine the gesture recognition model and facial expression recognition model with the emotional speech synthesis model to realize the sign language to emotional speech conversion. The experiments show that the recognition rate of gesture recognition is 93.96%, and the recognition rate of facial expression recognition in the CK+ database is 96.01%. The converted emotional speech not only has high quality but also can accurately express the facial expression.","PeriodicalId":279828,"journal":{"name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信