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Emphasis is a crucial component in human communication, which indicates the speaker's intention and implication beyond pure text in dialogue.
Pitch-based emphasis detection for segmenting speech recordings
Barry Arons. 1994 · 1934
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The meaning of intonational contours in the interpretation of discourse
Janet Pierrehumbert and Julia Hirschberg. 1990 · 1990
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Pragmatic functions of prosodic features in non-lexical utterances
Nigel Ward. 2004 · 2004
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Non-lexical conversational sounds in american english
Nigel Ward. 2006 · 2006
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Automatic exploration of corpus-specific properties for expressive text-to-speech: A case study in emphasis
Raul Fernandez and Bhuvana Ramabhadran. 2007 · 2007
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Experimental and theoretical advances in prosody: A review
Michael Wagner and Duane G Watson. 2010 · 2010
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Prosodic and temporal features for language modeling for dialog
Nigel G Ward, Alejandro Vega, and Timo Baumann. 2012 · 2012
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Conversational implicature, communicative intentions, and content
Ray Buchanan. 2013 · 2013
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The SIWIS Database: A Multilingual Speech Database with Acted Emphasis
Jean-Philippe Goldman, Pierre-Edouard Honnet, Rob Clark, Philip N. Garner, Maria Ivanova, Alexandros Lazaridis, Hui Liang, Tiago Macedo, Beat Pfister, Manuel Sam Ribeiro, Eric Wehrli, and Junichi Yamagishi. 2016 · 2016
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The pragmatics of repetition, emphasis and intensification
Rebecca Claire Jackson. 2016 · 2016
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Beyond just text: semantic emoji similarity modeling to support expressive communication
Henning Pohl, Christian Domin, and Michael Rohs. 2017 · 2017
Cited alongside, same era.
Hierarchical representation and estimation of prosody using continuous wavelet transform
Antti Suni, Juraj Šimko, Daniel Aalto, and Martti Vainio. 2017 · 2017
Cited alongside, same era.
Emphasis detection for voice dialogue applications using multi-channel convolutional bidirectional long short-term memory network
Long Zhang, Jia Jia, Fanbo Meng, Suping Zhou, Wei Chen, Cunjun Zhang, and Runnan Li. 2018 · 2018
Cited alongside, same era.
Predicting prosodic prominence from text with pre-trained contextualized word representations
Aarne Talman, Antti Suni, Hande Celikkanat, Sofoklis Kakouros, Jörg Tiedemann, and Martti Vainio. 2019 · 2019
Cited alongside, same era.
Goemotions: A dataset of fine-grained emotions
Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade, and Sujith Ravi. 2020 · 2020
Cited alongside, same era.
A closer look into using large language models for automatic evaluation
Cheng-Han Chiang and Hung-yi Lee. 2023b · 2023
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Emphassess : a prosodic benchmark on assessing emphasis transfer in speech-to-speech models
Maureen de Seyssel, Antony D’Avirro, Adina Williams, and Emmanuel Dupoux. 2023 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Dailytalk: Spoken dialogue dataset for conversational text-to-speech
Keon Lee, Kyumin Park, and Daeyoung Kim. 2023 · 2023
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G-eval: NLG evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Emphasis Control for Parallel Neural TTS
Shreyas Seshadri, Tuomo Raitio, Dan Castellani, and Jiangchuan Li. 2022 · 2022
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BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model
Brooke Stephenson, Laurent Besacier, Laurent Girin, and Thomas Hueber. 2022 · 2022
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Deep learning for prominence detection in children’s read speech
Mithilesh Vaidya, Kamini Sabu, and Preeti Rao. 2022 · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al. 2022 · 2022
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Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee. 2023a
Cited in the paper.
Guan-Ting Lin, Cheng-Han Chiang, and Hung-yi Lee. 2024a
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OpenAI. 2023 · 2023
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E-chat: Emotion-sensitive spoken dialogue system with large language models
Hongfei Xue, Yuhao Liang, Bingshen Mu, Shiliang Zhang, Qian Chen, and Lei Xie. 2023 · 2023
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Llama 3 model card
AI@Meta. 2024 · 2024
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Paralinguistics-enhanced large language modeling of spoken dialogue
Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-Yi Lee, and Ivan Bulyko. 2024b · 2024
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Crowdsourced and automatic speech prominence estimation
Max Morrison, Pranav Pawar, Nathan Pruyne, Jennifer Cole, and Bryan Pardo. 2024 · 2024
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