Computer Speech and Language

Papers
(The H4-Index of Computer Speech and Language is 25. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Building a text retrieval system for the Sanskrit language: Exploring indexing, stemming, and searching issues175
Speech enhancement approach for body-conducted unvoiced speech based on Taylor–Boltzmann machines trained DNN119
Towards inclusive automatic speech recognition113
Towards a unified assessment framework of speech pseudonymisation90
FE-CFNER: Feature Enhancement-based approach for Chinese Few-shot Named Entity Recognition90
Corpus and unsupervised benchmark: Towards Tagalog grammatical error correction68
A new speech corpus of super-elderly Japanese for acoustic modeling60
Addressing subjectivity in paralinguistic data labeling for improved classification performance: A case study with Spanish-speaking Mexican children using data balancing and semi-supervised learning56
Seq2Seq dynamic planning network for progressive text generation54
Stochastic Data-to-Text Generation Using Syntactic Dependency Information53
Optimizing pipeline task-oriented dialogue systems using post-processing networks52
Assessing language models’ task and language transfer capabilities for sentiment analysis in dialog data50
Automatic detection of pharyngeal fricatives in cleft palate speech using acoustic features based on the vocal tract area spectrum49
Improved relation extraction through key phrase identification using community detection on dependency trees49
Adaptive line enhancer for nonstationary harmonic noise reduction47
Sentence transition matrix: An efficient approach that preserves sentence semantics45
Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis37
Automatic detection of behavioural codes in team interactions37
Glottal features for classification of phonation type from speech and neck surface accelerometer signals37
Learning to extract from multiple perspectives for neural keyphrase extraction30
Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement29
A methodological approach to enable natural language interaction in an Intelligent Tutoring System29
Editorial Board26
Editorial Board25
Effective infant cry signal analysis and reasoning using IARO based leaky Bi-LSTM model25
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