【每日刊讯】Computer Speech and Language《计算机语音与语言》2024年第83卷-共15篇论文（侵删）-LingLab

【每日刊讯】Computer Speech and Language《计算机语音与语言》2024年第83卷-共15篇论文（侵删）

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感知语音学心理语言学神经与认知科学言语病理和矫治语言习得和儿童语言

本期推送的是SCIE期刊——Computer Speech and Language《计算机语音与语言》最新一期、即2024年第83卷的15篇论文（侵删）。

Computer Speech and Language《计算机语音与语言》2024年第83卷-共15篇论文（侵删）

序号	类型	作者	题目
01	Article	/	Editorial Board
02	Article	Marieke Einfeldt et al.	The use of Active Learning systems for stimulus selection and response modelling in perception experiments
03	Article	Harika Abburi et al.	Multi-task learning neural framework for categorizing sexism
04	Article	Kristen Moore et al.	A comprehensive solution to retrieval-based chatbot construction
05	Article	Feifan Feng et al.	Test-retest reliability of acoustic and linguistic measures of speech tasks
06	Article	Shammur Absar Chowdhury et al.	What do end-to-end speech models learn about speaker, language and channel information? A layer-wise and neuron-level analysis
07	Article	Manila Kodali et al.	Automatic classification of the severity level of Parkinson’s disease: A comparison of speaking tasks, features, and classifiers
08	Article	C. Karthikeyan et al.	Speech enhancement approach for body-conducted unvoiced speech based on Taylor–Boltzmann machines trained DNN
09	Article	Yi-Bo Huang et al.	A high-performance speech BioHashing retrieval algorithm based on audio segmentation
10	Article	Sudarsana Reddy Kadiri et al.	Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals
11	Article	Jiaying Xie et al.	ABC-Fusion: Adapter-based BERT-level confusion set fusion approach for Chinese spelling correction
12	Article	Farhad Javanmardi et al.	A comparison of data augmentation methods in voice pathology detection
13	Article	Alexios Gidiotis, Grigorios Tsoumakas	Bayesian active summarization
14	Article	Imran Sheikh et al.	Training RNN language models on uncertain ASR hypotheses in limited data scenarios
15	Article	Douglas O'Shaughnessy	Trends and developments in automatic speech recognition research