---
title: "IEEE/ACM Transactions on Audio Speech and Language"
description: "IEEE/ACM Transactions on Audio Speech and Language Processing 2019 — papers: 1 paper in the Elamur Research library, with our…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/2019/"
---
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# 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.

[**211** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/2019/#works) · [**1,490** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/2019/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation ↗](https://doi.org/10.1109/taslp.2019.2915167)**Yi Luo, Nima Mesgarani*2,042 citations*
2. **[Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement ↗](https://doi.org/10.1109/taslp.2019.2955276)**Ke Tan, DeLiang Wang*348 citations*
3. **[A New Framework for CNN-Based Speech Enhancement in the Time Domain ↗](https://doi.org/10.1109/taslp.2019.2913512)**Ashutosh Pandey, DeLiang Wang*299 citations*
4. **[Speech Emotion Classification Using Attention-Based LSTM ↗](https://doi.org/10.1109/taslp.2019.2925934)**Yue Xie, Ruiyu Liang, Zhenlin Liang et al.*282 citations*
5. **[Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification ↗](https://doi.org/10.1109/taslp.2019.2957872)**Jianfei Yu, Jing Jiang, Rui Xia*232 citations*
6. **[Unsupervised Speech Representation Learning Using WaveNet Autoencoders ↗](https://doi.org/10.1109/taslp.2019.2938863)**Jan Chorowski, Ron J. Weiss, Samy Bengio et al.*214 citations*
7. **[Divide and Conquer: A Deep CASA Approach to Talker-Independent Monaural Speaker Separation ↗](https://doi.org/10.1109/taslp.2019.2941148)**Yuzhou Liu, DeLiang Wang*172 citations*
8. **[Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis ↗](https://doi.org/10.1109/taslp.2019.2959251)**Jin Wang, Liang-Chih Yu, Kuo-Hua Robert Lai et al.*136 citations*
9. **[Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis ↗](https://doi.org/10.1109/taslp.2019.2956145)**Xin Wang, Shinji Takaki, Junichi Yamagishi*131 citations*
10. **[Sound Event Detection in the DCASE 2017 Challenge ↗](https://doi.org/10.1109/taslp.2019.2907016)**Annamaria Mesaros, Aleksandr Diment, Benjamin Elizalde et al.*130 citations*

## All works of the year (211)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation ↗](https://doi.org/10.1109/taslp.2019.2915167)**Yi Luo, Nima Mesgarani*2,042 citations*
2. **[Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement ↗](https://doi.org/10.1109/taslp.2019.2955276)**Ke Tan, DeLiang Wang*348 citations*
3. **[A New Framework for CNN-Based Speech Enhancement in the Time Domain ↗](https://doi.org/10.1109/taslp.2019.2913512)**Ashutosh Pandey, DeLiang Wang*299 citations*
4. **[Speech Emotion Classification Using Attention-Based LSTM ↗](https://doi.org/10.1109/taslp.2019.2925934)**Yue Xie, Ruiyu Liang, Zhenlin Liang et al.*282 citations*
5. **[Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification ↗](https://doi.org/10.1109/taslp.2019.2957872)**Jianfei Yu, Jing Jiang, Rui Xia*232 citations*
6. **[Unsupervised Speech Representation Learning Using WaveNet Autoencoders ↗](https://doi.org/10.1109/taslp.2019.2938863)**Jan Chorowski, Ron J. Weiss, Samy Bengio et al.*214 citations*
7. **[Divide and Conquer: A Deep CASA Approach to Talker-Independent Monaural Speaker Separation ↗](https://doi.org/10.1109/taslp.2019.2941148)**Yuzhou Liu, DeLiang Wang*172 citations*
8. **[Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis ↗](https://doi.org/10.1109/taslp.2019.2959251)**Jin Wang, Liang-Chih Yu, Kuo-Hua Robert Lai et al.*136 citations*
9. **[Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis ↗](https://doi.org/10.1109/taslp.2019.2956145)**Xin Wang, Shinji Takaki, Junichi Yamagishi*131 citations*
10. **[Sound Event Detection in the DCASE 2017 Challenge ↗](https://doi.org/10.1109/taslp.2019.2907016)**Annamaria Mesaros, Aleksandr Diment, Benjamin Elizalde et al.*130 citations*
11. **[ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder ↗](https://doi.org/10.1109/taslp.2019.2917232)**Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka et al.*114 citations*
12. **[Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation ↗](https://doi.org/10.1109/taslp.2019.2913094)**Huaishao Luo, Tianrui Li, Bing Liu et al.*105 citations*
13. **[Sequence-to-Sequence Acoustic Modeling for Voice Conversion ↗](https://doi.org/10.1109/taslp.2019.2892235)**Jing-Xuan Zhang, Zhen-Hua Ling, Li-Juan Liu et al.*105 citations*
14. **[Recursive Least-Squares Algorithms for the Identification of Low-Rank Systems ↗](https://doi.org/10.1109/taslp.2019.2903276)**Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty et al.*102 citations*
15. **[Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels ↗](https://doi.org/10.1109/taslp.2019.2898816)**Reza Lotfian, Carlos Busso*96 citations*
16. **[Speech Enhancement Based on Teacher–Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition ↗](https://doi.org/10.1109/taslp.2019.2940662)**Yan-Hui Tu, Jun Du, Chin‐Hui Lee*92 citations*
17. **[Sound Event Detection and Time–Frequency Segmentation from Weakly Labelled Data ↗](https://doi.org/10.1109/taslp.2019.2895254)**Qiuqiang Kong, Yong Xu, Iwona Sobieraj et al.*86 citations*
18. **[Weakly Labelled AudioSet Tagging With Attention Neural Networks ↗](https://doi.org/10.1109/taslp.2019.2930913)**Qiuqiang Kong, Changsong Yu, Yong Xu et al.*79 citations*
19. **[Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations ↗](https://doi.org/10.1109/taslp.2019.2960721)**Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai*77 citations*
20. **[Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation ↗](https://doi.org/10.1109/taslp.2019.2925450)**Naoki Makishima, Shinichi Mogami, Norihiro Takamune et al.*76 citations*
21. **[M-Estimate Based Normalized Subband Adaptive Filter Algorithm: Performance Analysis and Improvements ↗](https://doi.org/10.1109/taslp.2019.2950597)**Yi Yu, Hongsen He, Badong Chen et al.*75 citations*
22. **[Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling ↗](https://doi.org/10.1109/taslp.2019.2946789)**Peidong Wang, Ke Tan, DeLiang Wang*68 citations*
23. **[Sound Localization Based on Phase Difference Enhancement Using Deep Neural Networks ↗](https://doi.org/10.1109/taslp.2019.2919378)**Junhyeong Pak, Jong Won Shin*68 citations*
24. **[Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition ↗](https://doi.org/10.1109/taslp.2019.2907015)**Kazuki Shimada, Yoshiaki Bando, Masato Mimura et al.*68 citations*
25. **[An Efficient Framework for Sentence Similarity Modeling ↗](https://doi.org/10.1109/taslp.2019.2899494)**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 →](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/2019/papers/)

## Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Pre-Training with Whole Word Masking for Chinese BERT](https://md.research.elamur.ai/free/en/papers/cui-2019-pre-training-whole-word-masking/) [IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/)**Yiming Cui, Wanxiang Che, Ting Liu, et al.*2019 · 1,490 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Bing Qin**1 work here · 1,490 citations](https://md.research.elamur.ai/free/en/authors/bing-qin/) · [🧑‍🔬**Ting Liu**1 work here · 1,490 citations](https://md.research.elamur.ai/free/en/authors/ting-liu/) · [🧑‍🔬**Wanxiang Che**1 work here · 1,490 citations](https://md.research.elamur.ai/free/en/authors/wanxiang-che/) · [🧑‍🔬**Yiming Cui**1 work here · 1,490 citations](https://md.research.elamur.ai/free/en/authors/yiming-cui/) · [🧑‍🔬**Ziqing Yang**1 work here · 1,490 citations](https://md.research.elamur.ai/free/en/authors/ziqing-yang/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Harbin Institute of Technology** Harbin · China 1 work here](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🏢**IFlyTek** Hefei · China 1 work here](https://md.research.elamur.ai/free/en/companies/iflytek/)

works and citations from OpenAlex and our library.

- [next → IEEE/ACM Transactions on Audio Speech and Language Processing 2021](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/2021/)
- [↑ back to IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/)