SLT 2016 — accepted papers
SLT 2016 is the 2016 edition of the IEEE Spoken Language Technology Workshop (SLT). OpenAlex lists 105 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Deep neural network-based speaker embeddings for end-to-end speaker verification ↗David Snyder, Pegah Ghahremani, Daniel Povey et al.352 citations
- End-to-End attention based text-dependent speaker verification ↗Shi-Xiong Zhang, Zhuo Chen, Yong Hui Zhao et al.155 citations
- Intent detection using semantically enriched word embeddings ↗Joo-Kyung Kim, Gökhan Tür, Aslı Çelikyılmaz et al.100 citations
- Discriminative multiple sound source localization based on deep neural networks using independent location model ↗Ryu Takeda, Kazunori Komatani93 citations
- Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting ↗Ming Sun, Anirudh Raju, George Tucker et al.87 citations
- The MGB-2 challenge: Arabic multi-dialect broadcast media recognitionAhmed M. Abdelatty Ali, Peter Bell, James Glass et al.87 citations · our summary
- Very deep convolutional neural networks for robust speech recognition ↗Yanmin Qian, Philip C. Woodland82 citations
- An overview of end-to-end language understanding and dialog management for personal digital assistants ↗Ruhi Sarikaya, P. A. Crook, Alex Marin et al.71 citations
- Discriminative acoustic word embeddings: Tecurrent neural network-based approaches ↗Shane Settle, Karen Livescu68 citations
- Speech vs. text: A comparative analysis of features for depression detection systems ↗Michelle Renee Morales, Rivka Levitan68 citations
All accepted papers (105)
- Deep neural network-based speaker embeddings for end-to-end speaker verification ↗David Snyder, Pegah Ghahremani, Daniel Povey et al.352 citations
- End-to-End attention based text-dependent speaker verification ↗Shi-Xiong Zhang, Zhuo Chen, Yong Hui Zhao et al.155 citations
- Intent detection using semantically enriched word embeddings ↗Joo-Kyung Kim, Gökhan Tür, Aslı Çelikyılmaz et al.100 citations
- Discriminative multiple sound source localization based on deep neural networks using independent location model ↗Ryu Takeda, Kazunori Komatani93 citations
- Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting ↗Ming Sun, Anirudh Raju, George Tucker et al.87 citations
- The MGB-2 challenge: Arabic multi-dialect broadcast media recognitionAhmed M. Abdelatty Ali, Peter Bell, James Glass et al.87 citations · our summary
- Very deep convolutional neural networks for robust speech recognition ↗Yanmin Qian, Philip C. Woodland82 citations
- An overview of end-to-end language understanding and dialog management for personal digital assistants ↗Ruhi Sarikaya, P. A. Crook, Alex Marin et al.71 citations
- Discriminative acoustic word embeddings: Tecurrent neural network-based approaches ↗Shane Settle, Karen Livescu68 citations
- Speech vs. text: A comparative analysis of features for depression detection systems ↗Michelle Renee Morales, Rivka Levitan68 citations
- Speech enhancement using Long Short-Term Memory based recurrent Neural Networks for noise robust Speaker Verification ↗Morten Kolbæk, Zheng‐Hua Tan, Jesper Jensen63 citations
- Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features ↗Leimin Tian, Johanna D. Moore, Catherine Lai60 citations
- Syntax or semantics? knowledge-guided joint semantic frame parsing ↗Yun-Nung Chen, Dilek Hakanni-Tur, Gökhan Tür et al.52 citations
- QCRI advanced transcription system (QATS) for the Arabic Multi-Dialect Broadcast media recognition: MGB-2 challenge ↗Sameer Khurana, Ahmed M. Abdelatty Ali51 citations
- The fifth dialog state tracking challenge ↗Seokhwan Kim, Luis Fernando D’Haro, Rafael E. Banchs et al.49 citations
- Jointly learning to align and convert graphemes to phonemes with neural attention models ↗Shubham Toshniwal, Karen Livescu41 citations
- Further optimisations of constant Q cepstral processing for integrated utterance and text-dependent speaker verification ↗Héctor Delgado, Massimiliano Todisco, Md Sahidullah et al.36 citations
- A prioritized grid long short-term memory RNN for speech recognition ↗Wei-Ning Hsu, Yu Zhang, James Glass34 citations
- Punctuated transcription of multi-genre broadcasts using acoustic and lexical approaches ↗Ondřej Klejch, Peter Bell, Steve J. Renals34 citations
- Modelling speaker and channel variability using deep neural networks for robust speaker verification ↗Gautam Bhattacharya, Jahangir Alam, Patrick Kenn et al.31 citations
- A multichannel convolutional neural network for cross-language dialog state tracking ↗Hongjie Shi, Takashi Ushio, Mitsuru Endo et al.30 citations
- Quaternion Neural Networks for Spoken Language Understanding ↗Titouan Parcollet, Mohamed Morchid, Pierre-Michel Bousquet et al.30 citations
- Towards acoustic model unification across dialects ↗Mohamed G. Elfeky, Meysam Bastani, Xavier Velez et al.30 citations
- Batch-normalized joint training for DNN-based distant speech recognition ↗Mirco Ravanelli, Philémon Brakel, Maurizio Omologo et al.28 citations
- Look, listen, and decode: Multimodal speech recognition with images ↗Felix Sun, David F. Harwath, James Glass26 citations
See all 105 papers in SLT 2016 — accepted papers →
Papers with our summary in our library (1)
- The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media RecognitionIEEE Spoken Language Technology Workshop (SLT)Ahmed Ali, Peter Bell, James Glass, et al.2016 · 154 citations
Top topics
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Ahmed M. Abdelatty Ali1 work here · 154 citations🧑🔬Hamdy Mubarak1 work here · 154 citations🧑🔬James Glass1 work here · 154 citations🧑🔬Peter Bell1 work here · 154 citations🧑🔬Steve Renals1 work here · 154 citations🧑🔬Yifan Zhang1 work here · 154 citations
Top institutions
🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge ·
United States1 work here🎓Massachusetts Institute of TechnologyCambridge ·
United States1 work here🎓University of EdinburghEdinburgh ·
United Kingdom1 work here
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