ITR : Listen and Learn – Artificial Intelligence in Auditory Environments
暂无分享,去创建一个
J. Hopfield | L. Saul | D. Ellis | C. Isbell | D. D. Lee | S. P. Singh
[1] Daniel P. W. Ellis,et al. Decoding speech in the presence of other sources , 2005, Speech Commun..
[2] Michael I. Jordan,et al. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES , 2001 .
[3] Daniel P. W. Ellis,et al. Multi-channel source separation by factorial HMMs , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[4] Malcolm Slaney,et al. BabyEars: A recognition system for affective vocalizations , 2003, Speech Commun..
[5] S. Singh,et al. Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System , 2011, J. Artif. Intell. Res..
[6] Daniel D. Lee,et al. Dimensionality Reduction for Sensorimotor Learning in Mobile Robotics , 2002, Optics + Photonics.
[7] Leslie Pack Kaelbling,et al. Effective reinforcement learning for mobile robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).
[8] Michael Kearns,et al. CobotDS: a spoken dialogue system for chat , 2002, AAAI/IAAI.
[9] Harriet J. Nock,et al. Modelling asynchrony in automatic speech recognition using loosely coupled hidden Markov models , 2002, Cogn. Sci..
[10] Murray Campbell,et al. Deep Blue , 2002, Artif. Intell..
[11] Yann LeCun,et al. Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch , 2002, NIPS.
[12] Fernando Pereira,et al. Weighted finite-state transducers in speech recognition , 2002, Comput. Speech Lang..
[13] Alex Pentland,et al. Learning words from sights and sounds: a computational model , 2002, Cogn. Sci..
[14] Daniel P. W. Ellis,et al. The auditory organization of speech and other sources in listeners and computational models , 2001, Speech Commun..
[15] Steve J. Young,et al. Statistical Modeling in Continuous Speech Recognition (CSR) , 2001, UAI.
[16] S. Shamma. On the role of space and time in auditory processing , 2001, Trends in Cognitive Sciences.
[17] Peter Stone,et al. A social reinforcement learning agent , 2001, AGENTS '01.
[18] Masataka Goto. A predominant-F/sub 0/ estimation method for CD recordings: MAP estimation using EM algorithm for adaptive tone models , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[19] C.-C. Jay Kuo,et al. Audio content analysis for online audiovisual data segmentation and classification , 2001, IEEE Trans. Speech Audio Process..
[20] Lawrence K. Saul,et al. A statistical model for robust integration of narrowband cues in speech , 2001, Comput. Speech Lang..
[21] Andreas Stolcke,et al. The Meeting Project at ICSI , 2001, HLT.
[22] Chin-Hui Lee,et al. A structural Bayes approach to speaker adaptation , 2001, IEEE Trans. Speech Audio Process..
[23] J J Hopfield,et al. What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[24] COMBINING BOTTOM-UP AND TOP-DOWN CONSTRAINTS FOR ROBUST ASR : THE MULTISOURCE DECODER , 2001 .
[25] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[26] R. Rosenfeld,et al. Two decades of statistical language modeling: where do we go from here? , 2000, Proceedings of the IEEE.
[27] Peter Stone,et al. Cobot in LambdaMOO: A Social Statistics Agent , 2000, AAAI/IAAI.
[28] Lawrence K. Saul,et al. Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech , 2000, NIPS.
[29] Christian R. Shelton,et al. Balancing Multiple Sources of Reward in Reinforcement Learning , 2000, NIPS.
[30] W. Freeman,et al. Generalized Belief Propagation , 2000, NIPS.
[31] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[32] Sam T. Roweis,et al. One Microphone Source Separation , 2000, NIPS.
[33] Alex Pentland,et al. Wearable Audio Computing: A Survey of Interaction Techniques , 2000 .
[34] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[35] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[36] Doina Precup,et al. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..
[37] F L Wightman,et al. Resolution of front-back ambiguity in spatial hearing by listener and source movement. , 1999, The Journal of the Acoustical Society of America.
[38] Tomohiro Nakatani,et al. Harmonic sound stream segregation using localization and its application to speech stream segregation , 1999, Speech Commun..
[39] Daniel P. W. Ellis,et al. Using knowledge to organize sound: The prediction-driven approach to computational auditory scene analysis and its application to speech/nonspeech mixtures , 1999, Speech Commun..
[40] H. Sebastian Seung,et al. Learning in Intelligent Embedded Systems , 1999, USENIX Workshop on Embedded Systems.
[41] Keith Dana Martin,et al. Sound-source recognition: a theory and computational model , 1999 .
[42] D.A. Castanon,et al. Rollout Algorithms for Stochastic Scheduling Problems , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).
[43] Chris Schmandt,et al. Speaking and listening on the run: design for wearable audio computing , 1998, Digest of Papers. Second International Symposium on Wearable Computers (Cat. No.98EX215).
[44] Brendan J. Frey,et al. Probabilistic multimedia objects (multijects): a novel approach to video indexing and retrieval in multimedia systems , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[45] Alex Pentland,et al. Auditory Context Awareness via Wearable Computing , 1998 .
[46] Bradley J. Rhodes,et al. The wearable remembrance agent: A system for augmented memory , 1997, Digest of Papers. First International Symposium on Wearable Computers.
[47] Roberto Pieraccini,et al. A stochastic model of computer-human interaction for learning dialogue strategies , 1997, EUROSPEECH.
[48] Richard Lippmann,et al. Speech recognition by machines and humans , 1997, Speech Commun..
[49] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[50] Steve Mann,et al. Wearable Computing: A First Step Toward Personal Imaging , 1997, Computer.
[51] Mari Ostendorf,et al. From HMM's to segment models: a unified view of stochastic modeling for speech recognition , 1996, IEEE Trans. Speech Audio Process..
[52] Douglas Keislar,et al. Content-Based Classification, Search, and Retrieval of Audio , 1996, IEEE Multim..
[53] S. Schaal,et al. One-Handed Juggling: A Dynamical Approach to a Rhythmic Movement Task. , 1996, Journal of motor behavior.
[54] Hynek Hermansky,et al. Towards increasing speech recognition error rates , 1995, Speech Commun..
[55] Daniel Patrick Whittlesey Ellis,et al. Prediction-driven computational auditory scene analysis , 1996 .
[56] Thomas G. Dietterich,et al. High-Performance Job-Shop Scheduling With A Time-Delay TD(λ) Network , 1995, NIPS 1995.
[57] Andrew G. Barto,et al. Improving Elevator Performance Using Reinforcement Learning , 1995, NIPS.
[58] R. Duda,et al. Combined monaural and binaural localization of sound sources , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
[59] J. J. Hopfield,et al. Pattern recognition computation using action potential timing for stimulus representation , 1995, Nature.
[60] Gerald Tesauro,et al. Temporal difference learning and TD-Gammon , 1995, CACM.
[61] C. J. Darwin,et al. Chapter 11 – Auditory Grouping , 1995 .
[62] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[63] Michael I. Jordan,et al. Reinforcement Learning with Soft State Aggregation , 1994, NIPS.
[64] Giuseppe Riccardi,et al. THE 1994 AT&T ATIS CHRONUS RECOGNIZER , 1994 .
[65] Michael I. Jordan,et al. Learning Without State-Estimation in Partially Observable Markovian Decision Processes , 1994, ICML.
[66] Guy J. Brown. Computational auditory scene analysis : a representational approach , 1993 .
[67] Jont B. Allen. How do humans process and recognize speech , 1993 .
[68] M Konishi,et al. Listening with two ears. , 1993, Scientific American.
[69] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[70] Satinder P. Singh,et al. Reinforcement Learning with a Hierarchy of Abstract Models , 1992, AAAI.
[71] Satinder P. Singh,et al. Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models , 1992, ML.
[72] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[73] S A Shamma,et al. Stereausis: binaural processing without neural delays. , 1989, The Journal of the Acoustical Society of America.
[74] George R. Doddington,et al. An integrated pitch tracking algorithm for speech systems , 1983, ICASSP.
[75] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[76] Lawrence R. Rabiner,et al. On the use of autocorrelation analysis for pitch detection , 1977 .
[77] B. Moore. An Introduction to the Psychology of Hearing , 1977 .
[78] T. W. Parsons. Separation of speech from interfering speech by means of harmonic selection , 1976 .
[79] R. M. Warren. Perceptual Restoration of Missing Speech Sounds , 1970, Science.
[80] M. Schroeder. Period histogram and product spectrum: new methods for fundamental-frequency measurement. , 1968, The Journal of the Acoustical Society of America.
[81] A. Noll. Cepstrum pitch determination. , 1967, The Journal of the Acoustical Society of America.
[82] Chasselle. PHONETICS. , 1890, Science.