Audio Understanding

Papers

• Large-scale Contrastive Language-audio Pretraining With Feature Fusion And Keyword-to-caption Augmentation (2022)
  Yusong Wu, Ke Chen, Tianyu Zhang, et al.
  19.60
• Espnet-se++: Speech Enhancement For Robust Speech Recognition, Translation, And Understanding (2022)
  Yen-Ju Lu, Xuankai Chang, Chenda Li, et al.
  18.72
• Multimodal Speech Emotion Recognition Using Audio And Text (2018)
  Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
  18.02
• Towards End-to-end Spoken Language Understanding (2018)
  Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, et al.
  14.73
• Deep Cross-modal Correlation Learning For Audio And Lyrics In Music Retrieval (2017)
  Yi Yu, Suhua Tang, Francisco Raposo, et al.
  14.06
• Audiomnist: Exploring Explainable Artificial Intelligence For Audio Analysis On A Simple Benchmark (2018)
  Sören Becker, Johanna Vielhaben, Marcel Ackermann, et al.
  13.50
• Joint Online Spoken Language Understanding And Language Modeling With Recurrent Neural Networks (2016)
  Bing Liu, Ian Lane
  13.28
• Cm-net: A Novel Collaborative Memory Network For Spoken Language Understanding (2019)
  Yijin Liu, Fandong Meng, Jinchao Zhang, et al.
  13.28
• From Audio To Semantics: Approaches To End-to-end Spoken Language Understanding (2018)
  Parisa Haghani, Arun Narayanan, Michiel Bacchiani, et al.
  13.23
• Speechbert: An Audio-and-text Jointly Learned Language Model For End-to-end Spoken Question Answering (2019)
  Yung-Sung Chuang, Chi-Liang Liu, Hung-Yi Lee, et al.
  12.33
• Learning Asr-robust Contextualized Embeddings For Spoken Language Understanding (2019)
  Chao-Wei Huang, Yun-Nung Chen
  12.02
• Adapting Pretrained Transformer To Lattices For Spoken Language Understanding (2020)
  Chao-Wei Huang, Yun-Nung Chen
  12.00
• WAVPROMPT: Towards Few-shot Spoken Language Understanding With Frozen Language Models (2022)
  Heting Gao, Junrui Ni, Kaizhi Qian, et al.
  11.98
• Towards Understanding And Mitigating Audio Adversarial Examples For Speaker Recognition (2022)
  Guangke Chen, Zhe Zhao, Fu Song, et al.
  11.67
• Attention And Localization Based On A Deep Convolutional Recurrent Model For Weakly Supervised Audio Tagging (2017)
  Yong Xu, Qiuqiang Kong, Qiang Huang, et al.
  11.39
• Temporal Working Memory: Query-guided Segment Refinement For Enhanced Multimodal Understanding (2025)
  Xingjian Diao, Chunhui Zhang, Weiyi Wu, et al.
  11.33
• Sd-eval: A Benchmark Dataset For Spoken Dialogue Understanding Beyond Words (2024)
  Junyi Ao, Yuancheng Wang, Xiaohai Tian, et al.
  11.32
• Curriculum-based Transfer Learning For An Effective End-to-end Spoken Language Understanding And Domain Portability (2019)
  Antoine Caubrière, Natalia Tomashenko, Antoine Laurent, et al.
  10.74
• VALOR: Vision-audio-language Omni-perception Pretraining Model And Dataset (2023)
  Jing Liu, Sihan Chen, Xingjian He, et al.
  10.61
• Data Augmentation For Spoken Language Understanding Via Joint Variational Generation (2018)
  Kang Min Yoo, Youhyun Shin, Sang-Goo Lee
  10.61
• SPLAT: Speech-language Joint Pre-training For Spoken Language Understanding (2020)
  Yu-An Chung, Chenguang Zhu, Michael Zeng
  10.35
• Gl-clef: A Global-local Contrastive Learning Framework For Cross-lingual Spoken Language Understanding (2022)
  Libo Qin, Qiguang Chen, Tianbao Xie, et al.
  10.35
• Audiobench: A Universal Benchmark For Audio Large Language Models (2024)
  Bin Wang, Xunlong Zou, Geyu Lin, et al.
  10.21
• SLUE Phase-2: A Benchmark Suite Of Diverse Spoken Language Understanding Tasks (2022)
  Suwon Shon, Siddhant Arora, Chyi-Jiunn Lin, et al.
  10.07
• Pretrained Semantic Speech Embeddings For End-to-end Spoken Language Understanding Via Cross-modal Teacher-student Learning (2020)
  Pavel Denisov, Ngoc Thang Vu
  9.92
• ASR Error Management For Improving Spoken Language Understanding (2017)
  Edwin Simonnet, Sahar Ghannay, Nathalie Camelin, et al.
  9.92
• Large Language Models Are Strong Audio-visual Speech Recognition Learners (2024)
  Umberto Cappellazzo, Minsu Kim, Honglie Chen, et al.
  9.59
• ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding (2020)
  Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, et al.
  9.59
• Two-stage Textual Knowledge Distillation For End-to-end Spoken Language Understanding (2020)
  Seongbin Kim, Gyuwan Kim, Seongjin Shin, et al.
  9.41
• Speech-language Pre-training For End-to-end Spoken Language Understanding (2021)
  Yao Qian, Ximo Bian, Yu Shi, et al.
  9.41
• Using Speech Synthesis To Train End-to-end Spoken Language Understanding Models (2019)
  Loren Lugosch, Brett Meyer, Derek Nowrouzezahrai, et al.
  9.23
• Tie Your Embeddings Down: Cross-modal Latent Spaces For End-to-end Spoken Language Understanding (2020)
  Bhuvan Agrawal, Markus Müller, Martin Radfar, et al.
  9.03
• End-to-end Architectures For Asr-free Spoken Language Understanding (2019)
  Elisavet Palogiannidi, Ioannis Gkinis, George Mastrapas, et al.
  8.60
• Dynamic Time-aware Attention To Speaker Roles And Contexts For Spoken Language Understanding (2017)
  Po-Chun Chen, Ta-Chung Chi, Shang-Yu Su, et al.
  8.35
• End-to-end Spoken Language Understanding: Performance Analyses Of A Voice Command Task In A Low Resource Setting (2022)
  Thierry Desot, François Portet, Michel Vacher
  8.35
• Towards Reducing The Need For Speech Training Data To Build Spoken Language Understanding Systems (2022)
  Samuel Thomas, Hong-Kwang J. Kuo, Brian Kingsbury, et al.
  8.35
• Multi-source Spatial Knowledge Understanding For Immersive Visual Text-to-speech (2024)
  Shuwei He, Rui Liu
  8.17
• A Study On The Integration Of Pre-trained SSL, ASR, LM And SLU Models For Spoken Language Understanding (2022)
  Yifan Peng, Siddhant Arora, Yosuke Higuchi, et al.
  8.09
• Recent Advances In End-to-end Spoken Language Understanding (2019)
  Natalia Tomashenko, Antoine Caubriere, Yannick Esteve, et al.
  8.09
• PIN: A Novel Parallel Interactive Network For Spoken Language Understanding (2020)
  Peilin Zhou, Zhiqi Huang, Fenglin Liu, et al.
  8.09
• MFAAN: Unveiling Audio Deepfakes With A Multi-feature Authenticity Network (2023)
  Karthik Sivarama Krishnan, Koushik Sivarama Krishnan
  7.81
• A Comparative Study On E-branchformer Vs Conformer In Speech Recognition, Translation, And Understanding Tasks (2023)
  Yifan Peng, Kwangyoun Kim, Felix Wu, et al.
  7.81
• Ezaudio: Enhancing Text-to-audio Generation With Efficient Diffusion Transformer (2024)
  Jiarui Hai, Yong Xu, Hao Zhang, et al.
  7.50
• On Joint Training With Interfaces For Spoken Language Understanding (2021)
  Anirudh Raju, Milind Rao, Gautam Tiwari, et al.
  7.16
• Attentive Contextual Carryover For Multi-turn End-to-end Spoken Language Understanding (2021)
  Kai Wei, Thanh Tran, Feng-Ju Chang, et al.
  7.16
• Audio Caption In A Car Setting With A Sentence-level Loss (2019)
  Xuenan Xu, Heinrich Dinkel, Mengyue Wu, et al.
  7.16
• A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data (2019)
  Zijian Zhao, Su Zhu, Kai Yu
  7.16
• Multi-modal And Multi-scale Spatial Environment Understanding For Immersive Visual Text-to-speech (2024)
  Rui Liu, Shuwei He, Yifan Hu, et al.
  6.79
• Style Attuned Pre-training And Parameter Efficient Fine-tuning For Spoken Language Understanding (2020)
  Jin Cao, Jun Wang, Wael Hamza, et al.
  6.77
• Cross-lingual Spoken Language Understanding With Regularized Representation Alignment (2020)
  Zihan Liu, Genta Indra Winata, Peng Xu, et al.
  6.77