Computer Speech & Language 2023 — papers
The works of Computer Speech & Language published in 2023 that our library holds (publisher: Elsevier BV): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- Towards inclusive automatic speech recognition ↗Siyuan Feng, Bence Mark Halpern, Olya Kudina et al.103 citations
- Trends and developments in automatic speech recognition research ↗Douglas D. O’Shaughnessy51 citations
- Detecting dementia from speech and transcripts using transformers ↗Loukas Ilias, Dimitris Askounis, John E. Psarras48 citations
- A comparison of data augmentation methods in voice pathology detection ↗Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku41 citations
- Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement ↗Vijay Ravi, Jinhan Wang, Jonathan Flint et al.39 citations
- Adopting machine translation in the healthcare sector: A methodological multi-criteria review ↗Marco Salvatore Zappatore, Gilda Ruggieri34 citations
- A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment ↗Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto et al.31 citations
- Contextual emotion detection using ensemble deep learning ↗Asalah Thiab, Luay M. Alawneh, Mohammad AL-Smadi30 citations
- DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition ↗Jingxin Liu, Mengzhe Sun, Wenhao Zhang et al.29 citations
- Towards better Chinese-centric neural machine translation for low-resource languages ↗Bin Li, Yixuan Weng, Fei Xia et al.26 citations
All works of the year (79)
- Towards inclusive automatic speech recognition ↗Siyuan Feng, Bence Mark Halpern, Olya Kudina et al.103 citations
- Trends and developments in automatic speech recognition research ↗Douglas D. O’Shaughnessy51 citations
- Detecting dementia from speech and transcripts using transformers ↗Loukas Ilias, Dimitris Askounis, John E. Psarras48 citations
- A comparison of data augmentation methods in voice pathology detection ↗Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku41 citations
- Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement ↗Vijay Ravi, Jinhan Wang, Jonathan Flint et al.39 citations
- Adopting machine translation in the healthcare sector: A methodological multi-criteria review ↗Marco Salvatore Zappatore, Gilda Ruggieri34 citations
- A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment ↗Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto et al.31 citations
- Contextual emotion detection using ensemble deep learning ↗Asalah Thiab, Luay M. Alawneh, Mohammad AL-Smadi30 citations
- DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition ↗Jingxin Liu, Mengzhe Sun, Wenhao Zhang et al.29 citations
- Towards better Chinese-centric neural machine translation for low-resource languages ↗Bin Li, Yixuan Weng, Fei Xia et al.26 citations
- A methodological approach to enable natural language interaction in an Intelligent Tutoring System ↗Pablo Arnau‐González, Miguel Arevalillo‐Herráez, Romina Soledad Albornoz-De Luise et al.25 citations
- A comprehensive solution to retrieval-based chatbot construction ↗Kristen Moore, Shenjun Zhong, Zhen He et al.24 citations
- Automatic classification of the severity level of Parkinson’s disease: A comparison of speaking tasks, features, and classifiers ↗Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku24 citations
- The limits of the Mean Opinion Score for speech synthesis evaluation ↗Sébastien Le Maguer, Simon King, Naomi Harte23 citations
- Improving self-supervised learning model for audio spoofing detection with layer-conditioned embedding fusion ↗Souvik Sinha, Spandan Dey, Goutam Saha21 citations
- Social media popularity prediction with multimodal hierarchical fusion model ↗Jing Wang, Shuo Yang, Hui Zhao et al.21 citations
- Speech enhancement approach for body-conducted unvoiced speech based on Taylor–Boltzmann machines trained DNN ↗C. Karthikeyan, T. Rajesh Kumar, D. Vijendra Babu et al.20 citations
- English–Assamese neural machine translation using prior alignment and pre-trained language model ↗Sahinur Rahman Laskar, Bishwaraj Paul, Pankaj Dadure et al.19 citations
- A three-stage neural model for Arabic Dialect Identification ↗Mohammed Abdelmajeed, Jiangbin Zheng, Murtadha Ahmed18 citations
- An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings ↗Luca Serafini, Samuele Cornell, Giovanni Morrone et al.18 citations
- A knowledge-augmented heterogeneous graph convolutional network for aspect-level multimodal sentiment analysis ↗Yujie Wan, Yuzhong Chen, Jiali Lin et al.17 citations
- Cross-corpora spoken language identification with domain diversification and generalization ↗Spandan Dey, Md Sahidullah, Goutam Saha17 citations
- Document-level relation extraction with entity mentions deep attention ↗Yangsheng Xu, Jiaxin Tian, Mingwei Tang et al.17 citations
- Complementary regional energy features for spoofed speech detection ↗Gökay Dişken16 citations
See all 79 papers in Computer Speech & Language 2023 — papers →
Works with our summary in our library (1)
- MPSA-DenseNet: A novel deep learning model for English accent classificationComputer Speech & LanguageTianyu Song, Linh Thi Hoai Nguyen, Ton Viet Ta2023 · 19 citations
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