IEEE/ACM Transactions on Audio Speech and Language Processing 2019 — papers
The works of IEEE/ACM Transactions on Audio Speech and Language Processing published in 2019 that our library holds (publisher: Institute of Electrical and Electronics Engineers): 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
- Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation ↗Yi Luo, Nima Mesgarani2,042 citations
- Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement ↗Ke Tan, DeLiang Wang348 citations
- A New Framework for CNN-Based Speech Enhancement in the Time Domain ↗Ashutosh Pandey, DeLiang Wang299 citations
- Speech Emotion Classification Using Attention-Based LSTM ↗Yue Xie, Ruiyu Liang, Zhenlin Liang et al.282 citations
- Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification ↗Jianfei Yu, Jing Jiang, Rui Xia232 citations
- Unsupervised Speech Representation Learning Using WaveNet Autoencoders ↗Jan Chorowski, Ron J. Weiss, Samy Bengio et al.214 citations
- Divide and Conquer: A Deep CASA Approach to Talker-Independent Monaural Speaker Separation ↗Yuzhou Liu, DeLiang Wang172 citations
- Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis ↗Jin Wang, Liang-Chih Yu, Kuo-Hua Robert Lai et al.136 citations
- Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis ↗Xin Wang, Shinji Takaki, Junichi Yamagishi131 citations
- Sound Event Detection in the DCASE 2017 Challenge ↗Annamaria Mesaros, Aleksandr Diment, Benjamin Elizalde et al.130 citations
All works of the year (211)
- Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation ↗Yi Luo, Nima Mesgarani2,042 citations
- Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement ↗Ke Tan, DeLiang Wang348 citations
- A New Framework for CNN-Based Speech Enhancement in the Time Domain ↗Ashutosh Pandey, DeLiang Wang299 citations
- Speech Emotion Classification Using Attention-Based LSTM ↗Yue Xie, Ruiyu Liang, Zhenlin Liang et al.282 citations
- Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification ↗Jianfei Yu, Jing Jiang, Rui Xia232 citations
- Unsupervised Speech Representation Learning Using WaveNet Autoencoders ↗Jan Chorowski, Ron J. Weiss, Samy Bengio et al.214 citations
- Divide and Conquer: A Deep CASA Approach to Talker-Independent Monaural Speaker Separation ↗Yuzhou Liu, DeLiang Wang172 citations
- Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis ↗Jin Wang, Liang-Chih Yu, Kuo-Hua Robert Lai et al.136 citations
- Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis ↗Xin Wang, Shinji Takaki, Junichi Yamagishi131 citations
- Sound Event Detection in the DCASE 2017 Challenge ↗Annamaria Mesaros, Aleksandr Diment, Benjamin Elizalde et al.130 citations
- ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder ↗Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka et al.114 citations
- Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation ↗Huaishao Luo, Tianrui Li, Bing Liu et al.105 citations
- Sequence-to-Sequence Acoustic Modeling for Voice Conversion ↗Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu et al.105 citations
- Recursive Least-Squares Algorithms for the Identification of Low-Rank Systems ↗Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty et al.102 citations
- Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels ↗Reza Lotfian, Carlos Busso96 citations
- Speech Enhancement Based on Teacher–Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition ↗Yan-Hui Tu, Jun Du, Chin‐Hui Lee92 citations
- Sound Event Detection and Time–Frequency Segmentation from Weakly Labelled Data ↗Qiuqiang Kong, Yong Xu, Iwona Sobieraj et al.86 citations
- Weakly Labelled AudioSet Tagging With Attention Neural Networks ↗Qiuqiang Kong, Changsong Yu, Yong Xu et al.79 citations
- Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations ↗Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai77 citations
- Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation ↗Naoki Makishima, Shinichi Mogami, Norihiro Takamune et al.76 citations
- M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements ↗Yi Yu, Hongsen He, Badong Chen et al.75 citations
- Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling ↗Peidong Wang, Ke Tan, DeLiang Wang68 citations
- Sound Localization Based on Phase Difference Enhancement Using Deep Neural Networks ↗Junhyeong Pak, Jong Won Shin68 citations
- Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition ↗Kazuki Shimada, Yoshiaki Bando, Masato Mimura et al.68 citations
- An Efficient Framework for Sentence Similarity Modeling ↗Zhe Quan, Zhi-Jie Wang, Yuquan Le et al.61 citations
See all 211 papers in IEEE/ACM Transactions on Audio Speech and Language Processing 2019 — papers →
Works with our summary in our library (1)
- Pre-Training with Whole Word Masking for Chinese BERTIEEE/ACM Transactions on Audio Speech and Language ProcessingYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,490 citations
Top topics
Language models & pretraining (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Bing Qin1 work here · 1,490 citations🧑🔬Ting Liu1 work here · 1,490 citations🧑🔬Wanxiang Che1 work here · 1,490 citations🧑🔬Yiming Cui1 work here · 1,490 citations🧑🔬Ziqing Yang1 work here · 1,490 citations
Top institutions
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