Interspeech 2013 — accepted papers
Interspeech 2013 is the 2013 edition of the Interspeech. OpenAlex lists 747 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
- Speech enhancement based on deep denoising autoencoder ↗Xugang Lu, Yu Tsao, Shigeki Matsuda et al.834 citations
- The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism ↗Björn Wolfgang Schuller, Stefan Steidl, Anton M. Batliner et al.731 citations
- Sequence-discriminative training of deep neural networks ↗Karel Veselý, Arnab Kumar Ghoshal, Lukáš Burget et al.657 citations
- Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding ↗Grégoire Mesnil, Xiaodong He, Li Deng et al.413 citations
- Restructuring of deep neural network acoustic models with singular value decomposition ↗Jian Xue, Jinyu Li, Yifan Gong407 citations
- Exploring convolutional neural network structures and optimization techniques for speech recognition ↗Ossama Abdel‐Hamid, Li Deng, Dong Yu384 citations
- Recurrent neural networks for language understanding ↗Kaisheng Yao, Geoffrey Zweig, Mei-Yuh Hwang et al.315 citations
- Cross-entropy vs. squared error training: a theoretical and experimental comparison ↗Pavel Golik, Patrick Doetsch, Hermann Ney220 citations
- Improved feature processing for deep neural networks ↗Shakti P. Rath, Daniel Povey, Karel Veselý et al.187 citations
- Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks ↗Dimitri Palaz, Ronan Collobert, Mathew Magimai.-Doss185 citations
All accepted papers (747)
- Speech enhancement based on deep denoising autoencoder ↗Xugang Lu, Yu Tsao, Shigeki Matsuda et al.834 citations
- The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism ↗Björn Wolfgang Schuller, Stefan Steidl, Anton M. Batliner et al.731 citations
- Sequence-discriminative training of deep neural networks ↗Karel Veselý, Arnab Kumar Ghoshal, Lukáš Burget et al.657 citations
- Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding ↗Grégoire Mesnil, Xiaodong He, Li Deng et al.413 citations
- Restructuring of deep neural network acoustic models with singular value decomposition ↗Jian Xue, Jinyu Li, Yifan Gong407 citations
- Exploring convolutional neural network structures and optimization techniques for speech recognition ↗Ossama Abdel‐Hamid, Li Deng, Dong Yu384 citations
- Recurrent neural networks for language understanding ↗Kaisheng Yao, Geoffrey Zweig, Mei-Yuh Hwang et al.315 citations
- Cross-entropy vs. squared error training: a theoretical and experimental comparison ↗Pavel Golik, Patrick Doetsch, Hermann Ney220 citations
- Improved feature processing for deep neural networks ↗Shakti P. Rath, Daniel Povey, Karel Veselý et al.187 citations
- Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks ↗Dimitri Palaz, Ronan Collobert, Mathew Magimai.-Doss185 citations
- Spoofing and countermeasures for automatic speaker verification ↗Nicholas Evans, Tomi Kinnunen, Junichi Yamagishi160 citations
- Investigating voice quality as a speaker-independent indicator of depression and PTSD ↗Stefan J. Scherer, Giota Stratou, Jonathan S. Gratch et al.137 citations
- Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline ↗Thomas Schatz, Vijayaditya Peddinti, Francis Bach et al.134 citations
- An open-source state-of-the-art toolbox for broadcast news diarization ↗Mickaël Rouvier, Grégor Dupuy, Paul Gay et al.124 citations
- Voice conversion in high-order eigen space using deep belief nets ↗Toru Nakashika, Ryoichi Takashima, Tetsuya Takiguchi et al.121 citations
- Accurate and compact large vocabulary speech recognition on mobile devices ↗Xin Lei, Andrew Senior, Alexander Gruenstein et al.119 citations
- Speech activity detection on youtube using deep neural networks ↗Neville Ryant, Mark Liberman, Jiahong Yuan101 citations
- ALIZE 3.0 — open source toolkit for state-of-the-art speaker recognition ↗Anthony Larcher, Jean-François Bonastre, Benoît Fauve et al.98 citations
- I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry ↗Rosa González Hautamäki, Tomi Kinnunen, Ville Hautamäki et al.95 citations
- Reverberant speech recognition based on denoising autoencoder ↗Takaaki Ishii, Hiroki Komiyama, Takahiro Shinozaki et al.90 citations
- Convergence of articulation rate in spontaneous speech ↗Antje Schweitzer, Natalie Lewandowski87 citations
- A new DNN-based high quality pronunciation evaluation for computer-aided language learning (CALL) ↗Wenping Hu, Yao Qian, Frank K. Soong78 citations
- Evaluation of speech-based protocol for detection of early-stage dementia ↗Aharon Satt, Alexander S. Sorin, Orith Ronen et al.77 citations
- Improvement of distant-talking speaker identification using bottleneck features of DNN ↗Takanori Yamada, Longbiao Wang, Atsuhiko Kai72 citations
- I4u submission to NIST SRE 2012: a large-scale collaborative effort for noise-robust speaker verification ↗Haizhou Li, John H. L. Hansen, Jean-François Bonastre et al.71 citations
See all 747 papers in Interspeech 2013 — accepted papers →
Papers with our summary in our library (1)
- One Billion Word Benchmark for Measuring Progress in Statistical Language ModelingInterspeechCiprian Chelba, Tomas Mikolov, Mike Schuster, et al.2013 · 949 citations
Top topics
Language models & pretraining (1)Evaluation & benchmarks (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬Ciprian Chelba1 work here · 949 citations🧑🔬Mike Schuster1 work here · 949 citations🧑🔬Thorsten Brants1 work here · 949 citations🧑🔬Tomas Mikolov1 work here · 949 citations
Top institutions
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