Computer Speech and Language

Papers
(The H4-Index of Computer Speech and Language is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
A language-agnostic model of child language acquisition84
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System79
Stochastic Data-to-Text Generation Using Syntactic Dependency Information79
Editorial Board74
Editorial Board44
Speech enhancement approach for body-conducted unvoiced speech based on Taylor–Boltzmann machines trained DNN43
Room impulse response reshaping-based expectation–maximization in an underdetermined reverberant environment43
Optimization of modular multi-speaker distant conversational speech recognition42
Seq2Seq dynamic planning network for progressive text generation40
Corpus and unsupervised benchmark: Towards Tagalog grammatical error correction37
Towards privacy-preserving conversation analysis in everyday life: Exploring the privacy-utility trade-off36
Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning34
Identifying offensive memes in low-resource languages: A multi-modal multi-task approach using valence and arousal33
PaSCoNT - Parallel Speech Corpus of Northern-central Thai for automatic speech recognition26
Editorial Board26
A method of phonemic annotation for Chinese dialects based on a deep learning model with adaptive temporal attention and a feature disentangling structure26
Monotonic Gaussian regularization of attention for robust automatic speech recognition24
Misogynistic attitude detection in YouTube comments and replies: A high-quality dataset and algorithmic models22
Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge22
Complementary regional energy features for spoofed speech detection22
Multi-branch feature aggregation based on multiple weighting for speaker verification22
Contextual emotion detection using ensemble deep learning21
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