Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models Live Streaming Speech Recognition Using Deep Bidirectional LSTM Acoustic Models and Interpolated Language Models VACE-WPE: Virtual Acoustic Channel Expansion Based on Neural Networks for Weighted Prediction Error-Based Speech Dereverberation Phone-Level Prosody Modelling With GMM-Based MDN for Diverse and Controllable Speech Synthesis Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning Multi-View Speech Emotion Recognition Via Collective Relation Construction Learning Phone Recognition From Unpaired Audio and Phone Sequences Based on Generative Adversarial Network Word-Region Alignment-Guided Multimodal Neural Machine Translation Syntax-Aware Multi-Spans Generation for Reading Comprehension DUMA: Reading Comprehension With Transposition Thinking Diverse Distractor Generation for Constructing High-Quality Multiple Choice Questions A Parametric Unconstrained Beamformer Based Binaural Noise Reduction for Assistive Hearing Music Emotion Recognition: Intention of Composers-Performers Versus Perception of Musicians, Non-Musicians, and Listening Machines Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition Integrating Prior Translation Knowledge Into Neural Machine Translation Alleviating ASR Long-Tailed Problem by Decoupling the Learning of Representation and Classification HPSG-Inspired Joint Neural Constituent and Dependency Parsing in O() Time Complexity EDICS Information for Authors 135-147 148-161 174-189 190-201 202-217 218-229 230-243 244-259 260-268 269-279 280-291 292-304 305-316 317-329 330-339 340-354 355-366 www.signalprocessingsociety.org [4] FEBRUARY 2022https://dx.doi.org/10.1109/TASLP.2021.3133218 https://dx.doi.org/10.1109/TASLP.2021.3133218 https://dx.doi.org/10.1109/TASLP.2021.3133216 https://dx.doi.org/10.1109/TASLP.2021.3133216 https://dx.doi.org/10.1109/TASLP.2021.3133190 https://dx.doi.org/10.1109/TASLP.2021.3133190 https://dx.doi.org/10.1109/TASLP.2021.3133205 https://dx.doi.org/10.1109/TASLP.2021.3133205 https://dx.doi.org/10.1109/TASLP.2021.3133189 https://dx.doi.org/10.1109/TASLP.2021.3133196 https://dx.doi.org/10.1109/TASLP.2021.3138720 https://dx.doi.org/10.1109/TASLP.2021.3138720 https://dx.doi.org/10.1109/TASLP.2021.3138719 https://dx.doi.org/10.1109/TASLP.2021.3138679 https://dx.doi.org/10.1109/TASLP.2021.3138683 https://dx.doi.org/10.1109/TASLP.2021.3138706 https://dx.doi.org/10.1109/TASLP.2021.3138675 https://dx.doi.org/10.1109/TASLP.2021.3138709 https://dx.doi.org/10.1109/TASLP.2021.3138709 https://dx.doi.org/10.1109/TASLP.2021.3138674 https://dx.doi.org/10.1109/TASLP.2021.3138714 https://dx.doi.org/10.1109/TASLP.2021.3138707 https://dx.doi.org/10.1109/TASLP.2021.3138707 https://dx.doi.org/10.1109/TASLP.2021.3138715 https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/edics https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/information-authors-spl http://www.signalprocessingsociety.org