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International Conference on Text, Speech and Dialogue最新文献

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The Influence of Dataset Partitioning on Dysfluency Detection Systems 数据集划分对非流利性检测系统的影响
Pub Date : 2022-06-07 DOI: 10.1007/978-3-031-16270-1_35
S. Bayerl, Dominik Wagner, E. Nöth, T. Bocklet, K. Riedhammer
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引用次数: 8
Unified Modeling of Multi-Domain Multi-Device ASR Systems 多域多设备ASR系统的统一建模
Pub Date : 2022-05-13 DOI: 10.48550/arXiv.2205.06655
Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, A. Srinivasamurthy, S. Garimella
Modern Automatic Speech Recognition (ASR) systems often use a portfolio of domain-specific models in order to get high accuracy for distinct user utterance types across different devices. In this paper, we propose an innovative approach that integrates the different per-domain per-device models into a unified model, using a combination of domain embedding, domain experts, mixture of experts and adversarial training. We run careful ablation studies to show the benefit of each of these innovations in contributing to the accuracy of the overall unified model. Experiments show that our proposed unified modeling approach actually outperforms the carefully tuned per-domain models, giving relative gains of up to 10% over a baseline model with negligible increase in the number of parameters.
现代自动语音识别(ASR)系统通常使用一系列领域特定模型,以便在不同设备上获得不同用户话语类型的高精度。在本文中,我们提出了一种创新的方法,将不同的每个领域每个设备模型集成到一个统一的模型中,使用领域嵌入,领域专家,专家混合和对抗性训练的组合。我们进行了仔细的消融研究,以显示这些创新在促进整体统一模型准确性方面的好处。实验表明,我们提出的统一建模方法实际上优于精心调整的每域模型,在参数数量可以忽略不计的情况下,比基线模型的相对增益高达10%。
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引用次数: 0
Linguistic Resources Construction: Towards Disfluency Processing in Spontaneous Tunisian Dialect Speech 语言资源建构:朝向自发性突尼斯方言言语的不流畅加工
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_27
Emna Boughariou, Younés Bahou, Lamia Hadrich Belguith
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引用次数: 3
The TransBank Aligner: Cross-Sentence Alignment with Deep Neural Networks 跨银行对齐器:用深度神经网络进行跨句子对齐
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_16
Ahmad Aghaebrahimian, M. Ustaszewski, A. Stauder
{"title":"The TransBank Aligner: Cross-Sentence Alignment with Deep Neural Networks","authors":"Ahmad Aghaebrahimian, M. Ustaszewski, A. Stauder","doi":"10.1007/978-3-030-27947-9_16","DOIUrl":"https://doi.org/10.1007/978-3-030-27947-9_16","url":null,"abstract":"","PeriodicalId":358274,"journal":{"name":"International Conference on Text, Speech and Dialogue","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387090","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: 1
Spoken Language Identification Using Language Bottleneck Features 基于语言瓶颈特征的口语识别
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_32
Malo Grisard, P. Motlícek, Wissem Allouchi, Michael Baeriswyl, Alexandros Lazaridis, Qingran Zhan
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引用次数: 2
Explicit and Implicit Discourse Relations in the Prague Discourse Treebank 布拉格语篇树库中的显性和隐性语篇关系
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_20
Sárka Zikánová, Jirí Mírovský, Pavlína Synková
{"title":"Explicit and Implicit Discourse Relations in the Prague Discourse Treebank","authors":"Sárka Zikánová, Jirí Mírovský, Pavlína Synková","doi":"10.1007/978-3-030-27947-9_20","DOIUrl":"https://doi.org/10.1007/978-3-030-27947-9_20","url":null,"abstract":"","PeriodicalId":358274,"journal":{"name":"International Conference on Text, Speech and Dialogue","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707715","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: 6
On Practical Aspects of Multi-condition Training Based on Augmentation for Reverberation-/Noise-Robust Speech Recognition 基于增强的多条件训练在混响/噪声鲁棒语音识别中的应用
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_21
J. Málek, J. Zdánský
{"title":"On Practical Aspects of Multi-condition Training Based on Augmentation for Reverberation-/Noise-Robust Speech Recognition","authors":"J. Málek, J. Zdánský","doi":"10.1007/978-3-030-27947-9_21","DOIUrl":"https://doi.org/10.1007/978-3-030-27947-9_21","url":null,"abstract":"","PeriodicalId":358274,"journal":{"name":"International Conference on Text, Speech and Dialogue","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295422","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: 5
Question-Answering Dialog System for Large Audiovisual Archives 大型音像档案问答对话系统
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_33
Adam Chýlek, L. Smídl, J. Svec
{"title":"Question-Answering Dialog System for Large Audiovisual Archives","authors":"Adam Chýlek, L. Smídl, J. Svec","doi":"10.1007/978-3-030-27947-9_33","DOIUrl":"https://doi.org/10.1007/978-3-030-27947-9_33","url":null,"abstract":"","PeriodicalId":358274,"journal":{"name":"International Conference on Text, Speech and Dialogue","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127416607","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
A Comparison of Hybrid and End-to-End Models for Syllable Recognition 混合和端到端音节识别模型的比较
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_30
Sebastian P. Bayerl, K. Riedhammer
{"title":"A Comparison of Hybrid and End-to-End Models for Syllable Recognition","authors":"Sebastian P. Bayerl, K. Riedhammer","doi":"10.1007/978-3-030-27947-9_30","DOIUrl":"https://doi.org/10.1007/978-3-030-27947-9_30","url":null,"abstract":"","PeriodicalId":358274,"journal":{"name":"International Conference on Text, Speech and Dialogue","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126869493","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
A Self-organizing Feature Map for Arabic Word Extraction 用于阿拉伯语词提取的自组织特征映射
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-27947-9_11
Hassina Bouressace, J. Csirik
{"title":"A Self-organizing Feature Map for Arabic Word Extraction","authors":"Hassina Bouressace, J. Csirik","doi":"10.1007/978-3-030-27947-9_11","DOIUrl":"https://doi.org/10.1007/978-3-030-27947-9_11","url":null,"abstract":"","PeriodicalId":358274,"journal":{"name":"International Conference on Text, Speech and Dialogue","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121970976","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
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International Conference on Text, Speech and Dialogue
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