【限时资源,期刊全文】Computer Speech and Language《计算机语音和语言》2020年第63卷-共14篇论文(侵删)

本期推送的是SCI期刊——Computer Speech and Language《计算机语音和语言》最新一期、即2020年第63卷的14篇论文,其中目录可在正文中查看,全文可以点击文末附件列表下载,下载链接即日起三天内有

【限时资源,期刊全文】Computer Speech and Language《计算机语音和语言》2020年第63卷-共14篇论文(侵删)

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应用语言学、计算语言学、自然语言处理

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Computer Speech and Language《计算机语音和语言》2020年第63卷-共14篇论文(侵删)

资料整理:张明辉(微信:zhangxiaojian160408)

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序号 类型 作者 题目
01 Article Wen & Young Recurrent neural network language generation for spoken dialogue systems
02 Article Mingote et al. Optimization of the area under the ROC curve using neural network  supervectors for text-dependent speaker verification
03 Article Shivakumar & Georgiou Transfer learning from adult to children for speech recognition:  Evaluation, analysis and recommendations
04 Article Le et al. Hierarchical multimodal attention for end-to-end audio-visual scene-aware  dialogue response generation
05 Article Kumar et al. Leveraging Linguistic Context in Dyadic Interactions to Improve Automatic  Speech Recognition for Children
06 Special Issue Chettri et al. Deep generative variational autoencoding for replay spoof detection in  automatic speaker verification
07 Special Issue Monteiro et al. Generalized end-to-end detection of spoofing attacks to automatic speaker  recognizers
08 Special Issue Chiang et al. Learning Multi-Level Information for Dialogue Response Selection by  Highway Recurrent Transformer
09 Special Issue Boussaha et al. End-to-end response selection based on multi-level context response  matching
10 Special Issue Ye et al. Knowledge-Grounded Response Generation with Deep Attentional  Latent-Variable Model
11 Special Issue Huang et al. RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response  Selection
12 Special Issue Tündik A low latency sequential model and its user-focused evaluation for  automatic punctuation of ASR closed captions
13 Special Issue Lai et al. Multilingual stance detection in social media political debates
14 Special Issue Matějka 13 years of speaker recognition research at BUT, with longitudinal  analysis of NIST SRE

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