Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Cited by (304)

Items 201–300 of 304

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   Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara · 2018 · IEEE Spoken Language Technology Workshop (SLT)
2. Speaker and Language Aware Training for End-to-End ASR
   Shubham Bansal, Karan Malhotra, Sriram Ganapathy · 2019 · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
3. Topic Classification on Spoken Documents Using Deep Acoustic and Linguistic Features
   Tan Liu, Wu Guo · 2021 · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
4. End-to-End Speech Recognition
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5. Exploring the Encoder Layers of Discriminative Autoencoders for LVCSR
   Pin-Tuan Huang, Hung-Shin Lee, Syu‐Siang Wang, Kuan‐Yu Chen, Yu Tsao, Hsin‐Min Wang · 2019 · Interspeech (USB)
6. Experimenting with Attention Mechanisms in Joint CTC-Attention Models for Russian Speech Recognition
   Irina Sergeevna Kipyatkova, Nikita Markovnikov · 2020 · Lecture notes in computer science
7. Adversarial Training for Multilingual Acoustic Modeling
   Kevin Hu, Haşim Sak, Hank Liao · 2019 · arXiv (Cornell University)
8. A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models
   Mohammad Zeineldeen, Albert Zeyer, Wei Guo Zhou, Ng, Thomas, Ralf Schlüter, Hermann Ney · 2020 · arXiv (Cornell University)
9. exploRNN: teaching recurrent neural networks through visual exploration
   Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski · 2022 · The Visual Computer
10. An Exploration of Directly Using Word as ACOUSTIC Modeling Unit for Speech Recognition
    Chunlei Zhang, Chengzhu Yu, Chao Weng, Jia Cui, Dong Yu · 2018 · IEEE Spoken Language Technology Workshop (SLT)
11. Optimized Time Series Filters for Detecting Laughter and Filler Events
    Gábor Gosztolya · 2017 · Interspeech (USB)
12. Acoustic-to-Word Models with Conversational Context Information
    Suyoun Kim, Florian Metze · 2019 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
13. Neural Codes to Factor Language in Multilingual Speech Recognition
    Markus Müller, Sebastian Stüker, Alex Waibel · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
14. Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
    Bowen Shi, Shane Settle, Karen Livescu · 2021 · IEEE Spoken Language Technology Workshop (SLT)
15. DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction
    Zehan Wang, Sihong Zhou, Yuyao Huang, Wei Tian · 2020 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
16. State of Health Estimation for Lithium-Ion Batteries Based on Mechanism Fundamental Learning Under Variable Charging Strategies
    Shipeng Li, Chenghui Zhang, Yunlong Shang, Bin Duan, Guangcai Zhao, Changlong Li, Guangcai Zhao, Changlong Li, Nan Wang · 2025 · IEEE Transactions on Industrial Electronics
17. Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation
    Haisong Ding, Kai Chen, Qiang Huo · 2019 · Interspeech (USB)
18. Land subsidence simulation in the east of Beijing plain based on the AM-LSTM Network
    Xinyu CAO, Lin Zhu, Gong Huili, Guo Lin, Yujiao WEI, Tao Guo, CHEN Beibei, WANG Haigang, LI Huijun · 2022 · National Remote Sensing Bulletin
19. Predict In-Hospital Code Blue Events using Monitor Alarms through Deep Learning Approach
    Ran Xiao, Johnathan King, Andrea Villaroman, Duc H. Do, Noel G. Boyle, Xiao Hu · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
20. Attention-Sharing Initiative of Multimodal Processing in Simultaneous Interpreting
    Tianyun Li, Bicheng Fan · 2020 · International Journal of Translation Interpretation and Applied Linguistics
21. Segmental Alignment of English Syllables with Singleton and Cluster Onsets
    Zirui Liu, Yi Xu · 2021 · Interspeech (USB)
22. Indonesian Continuous Speech Recognition Using CNN and Bidirectional LSTM
    Anwar Petrus F Naiborhu, Sukmawati Nur Endah · 2021 · International Conference on Informatics and Computational Sciences (ICICoS)
23. Spelling-Aware Word-Based End-to-End ASR
    Ekaterina Egorova, Hari Krishna Vydana, Lukáš Burget, Jaň Černocký · 2022 · IEEE Signal Processing Letters
24. Deep learning assessment of syllable affiliation of intervocalic consonants
    Zirui Liu, Yi Xu · 2023 · The Journal of the Acoustical Society of America
25. Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition
    Saumya Y. Sahai, Jing Liu, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Anastasios Alexandridis, Grant P. Strimel, Ross McGowan, Ariya Rastrow, Feng-Ju Chang, Athanasios Mouchtaris et al. · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
26. Phonemic and Graphemic Multilingual CTC Based Speech Recognition
    Markus Müller, Sebastian Stüker, Alex Waibel · 2017 · arXiv (Cornell University)
27. On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
    Jan Kremer, Lasse Borgholt, Lars Maaløe · 2018 · arXiv (Cornell University)
28. Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models
    Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung‐Cheng Chiu, James Fan · 2019 · arXiv (Cornell University)
29. Cross-Utterance Language Models with Acoustic Error Sampling
    Guangzhi Sun, Chao Zhang, Philip C. Woodland · 2020 · arXiv (Cornell University)
30. Transformer Language Models with LSTM-based Cross-utterance Information Representation
    Guangzhi Sun, Chengyue Zhang, Philip C. Woodland · 2021 · arXiv (Cornell University)
31. Short-Term Cost Forecasting of EV Battery Using LSTM Network
    Waqas Ahmad Khan · 2020 · IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
32. Out-of-Vocabulary Words Detection with Attention and CTC Alignments in an End-to-End ASR System
    Ekaterina Egorova, Hari Krishna Vydana, Lukáš Burget, Jaň Černocký · 2021 · Interspeech (USB)
33. Study of Neural Machine Translation With Long Short-Term Memory Techniques
    Mangayarkarasi Ramaiah, Debajit Datta, C. Vanmathi, Rishav Agarwal · 2022 · Advances in computational intelligence and robotics book series
34. Hybrid CTC Language Identification Structure for Mandarin-English Code-Switching ASR
    Hengxin Yin, Guangyu Hu, Fei Wang, Pengfei Ren · 2022 · International Symposium on Chinese Spoken Language Processing (ISCSLP)
35. Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce
    Abhinav Goyal, Nikesh Garera · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
36. LiteLSTM architecture based on weights sharing for recurrent neural networks
    Nelly Elsayed, Zag ElSayed, Anthony S. Maida · 2025 · International Journal of Computers and Applications
37. Predicting fracture in disordered network materials using the local intelligent stress threshold indicator
    Bhagyashri Bachhav, Zhao Wu, Bernd A. Markert, Benjamin Stamm, Michael D. Shields, Michael L. Falk, Franz Bamer · 2025 · Communications Physics
38. End-to-End Speech Recognition in Russian
    Nikita Markovnikov, Irina Sergeevna Kipyatkova, Elena Lyakso · 2018 · Lecture notes in computer science
39. Multi-Task CTC Training with Auxiliary Feature Reconstruction for End-to-End Speech Recognition
    Gakuto Kurata, Kartik Audhkhasi · 2019 · Interspeech (USB)
40. End-To-End Speech Recognition with Joint Dereverberation of Sub-Band Autoregressive Envelopes
    Rohit Vishal Kumar, Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
41. Multi-Granularity Sequence Alignment Mapping for Encoder-Decoder Based End-to-End ASR
    Jian Tang, Jie Zhang, Yan Song, Ian Vince McLoughlin, Li-Rong Dai · 2021 · IEEE/ACM Transactions on Audio Speech and Language Processing
42. Multilingual Second-Pass Rescoring for Automatic Speech Recognition Systems
    Neeraj Gaur, Tongzhou Chen, Ehsan Variani, Parisa Haghani, Bhuvana Ramabhadran, Pedro J. Moreno · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
43. Word-Level Permutation and Improved Lower Frame Rate for RNN-Based Acoustic Modeling
    Yuanyuan Zhao, Shiyu Zhou, Shuang Xu, Bo Xu · 2017 · Lecture notes in computer science
44. Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition
    Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu · 2021 · Interspeech (USB)
45. Sequence Prediction with Neural Segmental Models
    Hao Tang · 2017 · arXiv (Cornell University)
46. Recent Progresses in Deep Learning based Acoustic Models (Updated)
    Dong Yu, Jinyu Li · 2018 · arXiv (Cornell University)
47. Building an NLP based speech recognition technology for emergency call centers
    Sudarshan Erukala, Prabhakar Reddy, Oruganti Ramesh, Nagaram Ramesh, Atul Kumar, Bonthala Prabhanjan, Prashanth Bolukonda · 2024 · AIP conference proceedings
48. Enhancing skeleton-based action recognition with hybrid real and gan-generated datasets
    Talgat Islamgozhayev, Beibut Amirgaliyev, Zhanibek Kozhirbayev · 2024 · Eastern-European Journal of Enterprise Technologies
49. A New Speech Encoder Based on Dynamic Framing Approach
    Renyuan Liu, Jian Yang, Xiaobing Zhou, Xiaoguang Yue · 2023 · Computer Modeling in Engineering & Sciences
50. Joint Maximization Decoder with Neural Converters for Fully Neural Network-Based Japanese Speech Recognition
    Takafumi Moriya, Jian Wang, Tomohiro Tanaka, Ryo Masumura, Yusuke Shinohara, Yoshikazu Yamaguchi, Yushi Aono · 2019 · Interspeech (USB)
51. Training RNN-T with CTC Loss in Automatic Speech Recognition
    Guangdong Huang, Dan Zhou, Sen Dan, Huang Fen · 2022 · Journal of Applied Mathematics and Computation
52. Improving Semi-Supervised End-To-End Automatic Speech Recognition Using Cyclegan and Inter-Domain Losses
    Chia-Yu Li, Ngoc Thang Vu · 2023 · IEEE Spoken Language Technology Workshop (SLT)
53. Multimodal Language Analysis with Recurrent Multistage Fusion
    Paul Pu Liang, Liu Ziyin, Amir Zadeh, Louis‐Philippe Morency · 2018 · arXiv (Cornell University)
54. A deep learning approach to state estimation from videos
    Chandani Doshi · 2018 · DSpace@MIT (Massachusetts Institute of Technology)
55. A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
    Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Álvarez, Zhifeng Chen et al. · 2020 · arXiv (Cornell University)
56. Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications
    Markus Müller, Anastasios Alexandridis, Zach Trozenski, Joel Whiteman, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris, Siegfried Kunzmann · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
57. Qualitative Analysis of PLP in LSTM for Bangla Speech Recognition
    Nahyan Al Mahmud, Shahfida Amjad Munni · 2020 · The International journal of Multimedia & Its Applications
58. Gujarati Task Oriented Dialogue Slot Tagging Using Deep Neural Network Models
    Rachana Parikh, Hiren Joshi · 2021 · Communications in computer and information science
59. Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery
    Lucas Ondel, Bolaji Yusuf, Lukáš Burget, Murat Saraçlar · 2022 · IEEE/ACM Transactions on Audio Speech and Language Processing
60. End-to-End Generation of Written-style Transcript of Speech from Parliamentary Meetings
    Masato Mimura, Tatsuya Kawahara · 2023 · Journal of Natural Language Processing
61. Deepcheque: a Large Language Model Approach to Automated Cheque Collection Framework and Information Retrival Using Multiple Loss Functions
    Zonunfeli Ralte, Rohini Das, Indrajit Kar · 2023 · International Conference on Advanced Computing and Communication Systems (ICACCS)
62. Improvements to Embedding-Matching Acoustic-to-Word ASR Using Multiple-Hypothesis Pronunciation-Based Embeddings
    Hao Yen, Woojay Jeon · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
63. Toward Developing Attention-Based End-To-End Automatic Speech Recognition
    Ghayas Ahmed, Aadil Ahmad Lawaye, Tawseef Ahmad Mir, Parveen Rana · 2023 · Lecture notes in networks and systems
64. Multi Transcription-Style Speech Transcription Using Attention-Based Encoder-Decoder Model
    Yan Huang, Piyush Behre, Guoli Ye, Shawn Chang, Yifan Gong · 2023 · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
65. Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging
    Paweł Rościszewski, Jakub Kaliski · 2017 · International Conference on High Performance Computing & Simulation (HPCS)
66. Research on Text Error Correction Algorithm after Automatic Speech Recognition Based on Pragmatic Information
    Yiming Sun, Tianyu Xiao, Chen Yang, Wei Liu · 2020 · International Conference on Control, Robotics and Intelligent System (CCRIS)
67. TINYS2I: A Small-Footprint Utterance Classification Model with Contextual Support for On-Device SLU
    Anastasios Alexandridis, Kanthashree Mysore Sathyendra, Grant P. Strimel, Pavel Kveton, Jon Webb, Athanasios Mouchtaris · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
68. HuZhouSpeech: A Huzhou Dialect Speech Recognition Corpus
    Yejin Wang, Maonian Wu, Bo Rui Zheng, Shaojun Zhu · 2022 · International Conference on Information Communication and Signal Processing (ICICSP)
69. Object instance segmentation using recurrent models
    Morales Vega, Juán Carlos · 2017 · RECERCAT (Consorci de Serveis Universitaris de Catalunya)
70. Linguistic Search Optimization for Deep Learning Based LVCSR
    Zhehuai Chen · 2018 · arXiv (Cornell University)
71. Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models
    Thai‐Son Nguyen, Sebastian Stueker, Alex Waibel · 2019 · arXiv (Cornell University)
72. Contextual Speech Recognition with Difficult Negative Training Examples
    Uri Alon, Golan Pundak, Tara N. Sainath · 2018 · arXiv (Cornell University)
73. G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR
    Duc Le, Thilo Koehler, Christian Fuegen, Michael L. Seltzer · 2019 · arXiv (Cornell University)
74. Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
    Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Sun, Eric, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong · 2021 · arXiv (Cornell University)
75. Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition
    Max W. Y. Lam, Wang, Jun, Chao Weng, Dan Su, Dong Yu · 2021 · arXiv (Cornell University)
76. State of Health Estimation for Lithium-ion Batteries Based on Mechanism Fundamental Learning under Variable Charging Strategies
    Chenghui Zhang, Shipeng Li, Yunlong Shang, Bin Duan, Kailong Liu, Zhuming Bi, Guangcai Zhao, Changlong Li, Nan Wang · 2023 · Research Square
77. Multilingual Adaptation of RNN Based ASR Systems
    Markus Müller, Sebastian Stüker, Alex Waibel · 2017 · arXiv (Cornell University)
78. Linked Recurrent Neural Networks
    Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang · 2018 · arXiv (Cornell University)
79. On The Inductive Bias of Words in Acoustics-to-Word Models
    Hao Tang, James Robert Glass · 2018 · arXiv (Cornell University)
80. Eyes and Ears Together: New Task for Multimodal Spoken Content Analysis.
    Yasufumi Moriya, Ramon Sanabria, Florian Metze, Gareth J. F. Jones · 2018 · MediaEval
81. On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns
    Yoonho Boo, Jin-Hwan Park, Lukas Jyuhn‐Hsiarn Lee, Wonyong Sung · 2018 · IEEE Spoken Language Technology Workshop (SLT)
82. Modeling Spatiotemporal Multimodal Language with Recurrent Multistage Fusion
    Paul Pu Liang, Liu Ziyin, Amir Zadeh, Louis‐Philippe Morency · 2018
83. Acoustic-to-Word Models with Conversational Context Information
    Suyoun Kim, Florian Metze · 2019 · arXiv (Cornell University)
84. Hypothesis Correction Based on Semi-character Recurrent Neural Network for End-to-end Speech Recognition
    Yuuki Tachioka · 2019 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
85. Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
    Bowen Shi, Shane Settle, Karen Livescu · 2020 · arXiv (Cornell University)
86. 音声認識技術の変遷と最先端 ――深層学習によるEnd-to-Endモデル――
    Tatsuya Kawahara · 2018 · 日本音響学会誌
87. LSTM Acoustic Models Learn to Align and Pronounce with Graphemes
    Arindrima Datta, Guanlong Zhao, Bhuvana Ramabhadran, Eugene Weinstein · 2020 · arXiv (Cornell University)
88. Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR
    Zhang, Xiaohui, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf et al. · 2020 · arXiv (Cornell University)
89. Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification
    Bidisha Sharma, Maulik C. Madhavi, Haizhou Li · 2021 · arXiv (Cornell University)
90. Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization
    Jonathan J. Macoskey, Grant P. Strimel, Ariya Rastrow · 2021 · arXiv (Cornell University)
91. Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
    Yi-Di Jiang, Bidisha Sharma, Maulik C. Madhavi, Hai-Zhou Li · 2021 · Interspeech
92. Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery
    Lucas Ondel · 2021
93. A High-Accuracy Two-Stage Model for Automatic Speech Recognition
    Xiong Li, Huabing Yan · 2022 · International Conference on Artificial Intelligence and Big Data (ICAIBD)
94. Cloud Data System Design for Mental Crisis State Recognition of College Students Based on Machine Learning
    Huimin Zhang, Sidong Guo · 2022 · Mobile Information Systems
95. Specific Problems of Natural Language Processing
    Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh · 2023 · Texts in computer science
96. Automated Speech Recognition System for Dispatching Call Recordings in The Underground Coal Mines
    Guoyuan Lin, Zhao Lei, Jueting Liu, Zemeng Liu, Minda Yao, Wei Chen, Yingchun Liu, Zehua Wang, Hengbo Li · 2023
97. Research Of Singing With Note-name Recognition Algorithm Based On End-to-End Model
    Shimin Wang Bintao Deng · 2024 · Journal of Electrical Systems
98. Integration of WFST Language Model in Pre-trained Korean E2E ASR Model
    Junseok Oh, Eunsoo Cho, Ji-Hwan Kim · 2024 · KSII Transactions on Internet and Information Systems
99. Low-Resourced Speech Recognition for Iu Mien Language via Weakly-Supervised Phoneme-Based Multilingual Pretraining
    Lukuan Dong, Donghong Qin, Fengbo Bai, Fanhua Song, Yan Liu, Xu Chen, Zhijian Ou · 2024 · International Symposium on Chinese Spoken Language Processing (ISCSLP)
100. Reconstructing Speech Features of Automatic Speech Recognition Systems in Federated Learning by Gradient Descent
     Minh N. Bui, Trung Dang, Paul Cherian, Trac Duy Tran, Peter S. Chin · 2025 · Studies in computational intelligence