Most cited papers in Music and Audio Processing
What are the most cited papers in Music and Audio Processing?
The most cited paper in Music and Audio Processing is "Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling" (Jun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho et al., 2014), with 10,801 citations. Next come "Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups" (10,453) and "Speech recognition with deep recurrent neural networks" (8,969).
Showing 50 of 100 papers. Every paper with more than 1,150 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Jun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho et al. · arXiv (Cornell University) | 11 Dec 2014 | 10,801 |
| 2 | Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Geoffrey E. Hinton, Li Deng, Dong Yu et al. · IEEE Signal Processing Magazine | 19 Oct 2012 | 10,453 |
| 3 | Speech recognition with deep recurrent neural networks Alex M Graves, Abdelrahman Mohamed, Geoffrey E. Hinton | May 2013 | 8,969 |
| 4 | LSTM: A Search Space Odyssey Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník et al. · IEEE Transactions on Neural Networks and Learning Systems | 14 Jul 2016 | 7,047 |
| 5 | Librispeech: An ASR corpus based on public domain audio books Vassil Panayotov, Guoguo Chen, Daniel Povey et al. | Apr 2015 | 6,112 |
| 6 | Evaluating collaborative filtering recommender systems Jonathan L. Herlocker, Joseph A. Konstan, Loren Terveen et al. · ACM Transactions on Information Systems | 2004 | 5,828 |
| 7 | Framewise phoneme classification with bidirectional LSTM and other neural network architectures Alex M Graves, Jürgen Schmidhuber · Neural Networks | Jul 2005 | 5,668 |
| 8 | A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures Yong Yu, Xiaosheng Si, Changhua Hu et al. · Neural Computation | 21 May 2019 | 5,666 |
| 9 | Connectionist temporal classification Alex M Graves, Santiago Fernández, Faustino J. Gomez et al. | 2006 | 5,621 |
| 10 | Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences S. Davis, Paul G. Mermelstein · IEEE Transactions on Acoustics Speech and Signal Processing | Aug 1980 | 5,458 |
| 11 | Adaptive Mixtures of Local Experts Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan et al. · Neural Computation | Feb 1991 | 5,316 |
| 12 | Kaldi Speech Recognition Toolkit Daniel Povey · Infoscience (Ecole Polytechnique Fédérale de Lausanne) | 2024 | 4,890 |
| 13 | Multimodal Machine Learning: A Survey and Taxonomy Tadas Baltrušaitis, Chaitanya Ahuja, Louis‐Philippe Morency · IEEE Transactions on Pattern Analysis and Machine Intelligence | 25 Jan 2018 | 4,774 |
| 14 | Speaker Verification Using Adapted Gaussian Mixture Models Douglas A. Reynolds, Thomas F. Quatieri, Robert B. Dunn · Digital Signal Processing | 2000 | 4,288 |
| 15 | Speech enhancement using a minimum mean-square error log-spectral amplitude estimator Y. Ephraim, D. Malah · IEEE Transactions on Acoustics Speech and Signal Processing | Apr 1985 | 3,778 |
| 16 | Handwritten Digit Recognition with a Back-Propagation Network Yann LeCun, Bernhard E. Boser, John S. Denker et al. · neural information processing systems | 1989 | 3,631 |
| 17 | SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Daniel Park, William Chan, Yu Zhang et al. | 13 Sep 2019 | 3,629 |
| 18 | Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition George E. Dahl, Dong Yu, Li Deng et al. · IEEE Transactions on Audio Speech and Language Processing | 6 Apr 2011 | 3,099 |
| 19 | Audio Set: An ontology and human-labeled dataset for audio events Jort Florent Gemmeke, Daniel P. W. Ellis, Dylan Freedman et al. | Mar 2017 | 3,098 |
| 20 | librosa: Audio and Music Signal Analysis in Python Brian McFee, Colin Raffel, Dawen Liang et al. · Proceedings of the Python in Science Conferences | 2015 | 3,077 |
| 21 | Auditory Scene Analysis: The Perceptual Organization of Sound Albert S. Bregman, Stephen E. McAdams · The Journal of the Acoustical Society of America | Feb 1994 | 3,058 |
| 22 | Using dynamic time warping to find patterns in time series Donald J. Berndt, James Clifford · Knowledge Discovery and Data Mining | 31 Jul 1994 | 2,899 |
| 23 | Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati, James Qin, Chung‐Cheng Chiu et al. | 25 Oct 2020 | 2,892 |
| 24 | Robust text-independent speaker identification using Gaussian mixture speaker models D.A. Reynolds, Richard Cameron Rose · IEEE Transactions on Speech and Audio Processing | 1995 | 2,877 |
| 25 | Best practices for convolutional neural networks applied to visual document analysis P. Simard, Don C. Steinkraus, John C. Platt | 12 Apr 2005 | 2,843 |
| 26 | Musical genre classification of audio signals George Tzanetakis, Patrick D. Cook · IEEE Transactions on Speech and Audio Processing | Jul 2002 | 2,829 |
| 27 | X-Vectors: Robust DNN Embeddings for Speaker Recognition DAVID E. SNYDER, Daniel Garcia-Romero, Gregory Sell et al. | Apr 2018 | 2,725 |
| 28 | The mismatch negativity (MMN) in basic research of central auditory processing: A review Risto Näätänen, Petri Paavilainen, Teemu Rinne et al. · Clinical Neurophysiology | 14 Nov 2007 | 2,721 |
| 29 | Phoneme recognition using time-delay neural networks Alexander H. Waibel, Toshiyuki Hanazawa, Geoffrey E. Hinton et al. · IEEE Transactions on Acoustics Speech and Signal Processing | Mar 1989 | 2,662 |
| 30 | Opensmile Florian Eyben, Martin Wöllmer, Björn Wolfgang Schuller | 25 Oct 2010 | 2,654 |
| 31 | Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition Esmaeil Atashpaz-Gargari, Caro Lucas | Sep 2007 | 2,651 |
| 32 | CNN architectures for large-scale audio classification Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis et al. | Mar 2017 | 2,540 |
| 33 | In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication Baevski, Alexei, Zhou, Henry, Mohamed, Abdelrahman et al. · arXiv (Cornell University) | 20 Jun 2020 | 2,452 |
| 34 | Listen, attend and spell: A neural network for large vocabulary conversational speech recognition William Chan, Navdeep Jaitly, Quoc Viet Le et al. | Mar 2016 | 2,368 |
| 35 | SCALE-SPACE FILTERING Andrew Witkin · Elsevier eBooks | 1987 | 2,366 |
| 36 | VoxCeleb2: Deep Speaker Recognition Joon Son Chung, Arsha Nagrani, Andrew Zisserman | 28 Aug 2018 | 2,328 |
| 37 | Convolutional Neural Networks for Speech Recognition Ossama Abdel‐Hamid, Abdelrahman Mohamed, Hui Jiang et al. · IEEE/ACM Transactions on Audio Speech and Language Processing | 16 Jul 2014 | 2,310 |
| 38 | Multimodal Deep Learning Jiquan Ngiam, Aditya Khosla, Mingyu Kim et al. | 28 Jun 2011 | 2,289 |
| 39 | Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering Rodrigo Quian Quiroga, Zoltán Nádasdy, Yoram Ben‐Shaul · Neural Computation | 8 Jun 2004 | 2,249 |
| 40 | SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK Jane M. Bromley, JAMES W. BENTZ, Léon Bottou et al. · Series in machine perception and artificial intelligence | 1994 | 2,233 |
| 41 | Scalar expectancy theory and Weber's law in animal timing. John Gibbon · Psychological Review | May 1977 | 2,188 |
| 42 | Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation Yi Luo, Nima Mesgarani · IEEE/ACM Transactions on Audio Speech and Language Processing | 7 May 2019 | 2,105 |
| 43 | A review on the long short-term memory model Greg Van Houdt, Carlos Mosquera, Gonzalo Nápoles · Artificial Intelligence Review | 13 May 2020 | 2,008 |
| 44 | Efficient similarity search in sequence databases Rakesh Agrawal, Christos Faloutsos, Arun N. Swami · Lecture notes in computer science | 1993 | 1,989 |
| 45 | Exact indexing of dynamic time warping Eamonn Keogh, Chotirat Ann Ratanamahatana · Knowledge and Information Systems | 12 May 2004 | 1,982 |
| 46 | Scalable Diffusion Models with Transformers William Peebles, Saining Xie | Oct 2023 | 1,974 |
| 47 | Neural Discrete Representation Learning. Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu · arXiv (Cornell University) | 2 Nov 2017 | 1,969 |
| 48 | YIN, a fundamental frequency estimator for speech and music Alain de Cheveigné, Hideki Kawahara · The Journal of the Acoustical Society of America | Apr 2002 | 1,924 |
| 49 | Restricted Boltzmann machines for collaborative filtering Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton | 20 Jun 2007 | 1,892 |
| 50 | WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing Sanyuan Chen, Chengyi Wang, Zhengyang Chen et al. · IEEE Journal of Selected Topics in Signal Processing | 4 Jul 2022 | 1,876 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.