The harpy speech recognition system.
- Author:
- Bruce T. Lowerre
Abstract
No abstract available.
Cited By
- Yu G, Wu Z, Kossmann F, Li T, Markakis M, Ngom A, Madden S and Kraska T (2024). Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD, Proceedings of the VLDB Endowment, 17:11, (3629-3643), Online publication date: 1-Jul-2024.
- Zecchini L, Bleifuß T, Simonini G, Bergamaschi S and Naumann F (2024). Determining the Largest Overlap between Tables, Proceedings of the ACM on Management of Data, 2:1, (1-26), Online publication date: 12-Mar-2024.
- Shah N Reliable neuro-symbolic abstractions for planning and learning Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, (7093-7094)
- Eo M, Kang S and Rhee W (2023). An effective low-rank compression with a joint rank selection followed by a compression-friendly training, Neural Networks, 161:C, (165-177), Online publication date: 1-Apr-2023.
- Świechowski M, Godlewski K, Sawicki B and Mańdziuk J (2023). Monte Carlo Tree Search: a review of recent modifications and applications, Artificial Intelligence Review, 56:3, (2497-2562), Online publication date: 1-Mar-2023.
- Shah N and Srivastava S Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, (1183-1191)
- Senapati D, Sarkar A and Karfa C (2021). HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems, ACM Transactions on Embedded Computing Systems, 20:5s, (1-26), Online publication date: 31-Oct-2021.
- Zheng Z Contextual Data Cleaning with Ontology FDs Proceedings of the 2021 International Conference on Management of Data, (2911-2913)
- Horn M, Raidl G and Blum C (2019). Job sequencing with one common and multiple secondary resources, Artificial Intelligence, 277:C, Online publication date: 1-Dec-2019.
- Zhong C, Yang M and Sun J JavaScript Code Suggestion Based on Deep Learning Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence, (145-149)
- Kress D, Müller D and Nossack J (2019). A worker constrained flexible job shop scheduling problem with sequence-dependent setup times, OR Spectrum, 41:1, (179-217), Online publication date: 1-Mar-2019.
- Toselli A, Romero V and Vidal E (2017). Word graphs size impact on the performance of handwriting document applications, Neural Computing and Applications, 28:9, (2477-2487), Online publication date: 1-Sep-2017.
- Vadlamudi S, Aine S and Chakrabarti P (2016). Anytime pack search, Natural Computing: an international journal, 15:3, (395-414), Online publication date: 1-Sep-2016.
- Li K, Zhou Z and Lee C (2016). Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications, ACM Transactions on Accessible Computing, 8:2, (1-23), Online publication date: 30-Jan-2016.
- Alhashim I, Xu K, Zhuang Y, Cao J, Simari P and Zhang H (2015). Deformation-driven topology-varying 3D shape correspondence, ACM Transactions on Graphics, 34:6, (1-13), Online publication date: 4-Nov-2015.
- Chen X, Zhang H, Lin J, Hu R, Lu L, Huang Q, Benes B, Cohen-Or D and Chen B (2015). Dapper, ACM Transactions on Graphics, 34:6, (1-12), Online publication date: 4-Nov-2015.
- Zhou Y, Sueda S, Matusik W and Shamir A (2014). Boxelization, ACM Transactions on Graphics, 33:4, (1-8), Online publication date: 27-Jul-2014.
- Huang X, Baker J and Reddy R (2014). A historical perspective of speech recognition, Communications of the ACM, 57:1, (94-103), Online publication date: 1-Jan-2014.
- Boysen N and Zenker M (2013). A decomposition approach for the car resequencing problem with selectivity banks, Computers and Operations Research, 40:1, (98-108), Online publication date: 1-Jan-2013.
- Shelokar P, Quirin A and Cordón Ó (2013). MOSubdue, Knowledge and Information Systems, 34:1, (75-108), Online publication date: 1-Jan-2013.
- Luo L, Baran I, Rusinkiewicz S and Matusik W (2012). Chopper, ACM Transactions on Graphics, 31:6, (1-9), Online publication date: 1-Nov-2012.
- Gromicho J, van Hoorn J, Kok A and Schutten J (2012). Restricted dynamic programming, Computers and Operations Research, 39:5, (902-909), Online publication date: 1-May-2012.
- Spitkovsky V, Alshawi H and Jurafsky D Lateen EM Proceedings of the Conference on Empirical Methods in Natural Language Processing, (1269-1280)
- Wijs A Towards informed swarm verification Proceedings of the Third international conference on NASA Formal methods, (422-437)
- Fliedner M, Boysen N and Scholl A (2011). On the part inventory model sequencing problem, Journal of Scheduling, 14:1, (17-25), Online publication date: 1-Feb-2011.
- Engelbrecht H and du Preez J (2010). Efficient backward decoding of high-order hidden Markov models, Pattern Recognition, 43:1, (99-112), Online publication date: 1-Jan-2010.
- Gimpel K and Smith N Cube summing, approximate inference with non-local features, and dynamic programming without semirings Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, (318-326)
- Sanchis-Trilles G, Ortiz-Martínez D, Civera J, Casacuberta F, Vidal E and Hoang H Improving interactive machine translation via mouse actions Proceedings of the Conference on Empirical Methods in Natural Language Processing, (485-494)
- Valente J and Alves R (2008). Beam search algorithms for the single machine total weighted tardiness scheduling problem with sequence-dependent setups, Computers and Operations Research, 35:7, (2388-2405), Online publication date: 1-Jul-2008.
- Moore R (2007). PRESENCE, IEEE Transactions on Computers, 56:9, (1176-1188), Online publication date: 1-Sep-2007.
- Wang F and Lim A (2007). A stochastic beam search for the berth allocation problem, Decision Support Systems, 42:4, (2186-2196), Online publication date: 1-Jan-2007.
- Ertek G and Kilic K Decision support for packing in warehouses Proceedings of the 21st international conference on Computer and Information Sciences, (115-124)
- Helmert M (2006). The fast downward planning system, Journal of Artificial Intelligence Research, 26:1, (191-246), Online publication date: 1-May-2006.
- Spiesser J and Kitchen L Optimization of html automatically generated by wysiwyg programs Proceedings of the 13th international conference on World Wide Web, (355-364)
- Amengual J, Castaño A, Castellanos A, Jiménez V, Llorens D, Marzal A, Prat F, Vilar J, Benedi J, Casacuberta F, Pastor M and Vidal E (2000). The EuTrans Spoken Language Translation System, Machine Translation, 15:1/2, (75-103), Online publication date: 1-Jun-2000.
- Nguyen L, Schwartz R, Kubala F and Placeway P Search algorithms for software-only real-time recognition with very large vocabularies Proceedings of the workshop on Human Language Technology, (91-95)
- Paul D Algorithms for an optimal A search and linearizing the search in the stack decoder Proceedings of the workshop on Speech and Natural Language, (200-203)
- Austin S, Peterson P, Placeway P, Schwartz R and Vandergrift J Toward a real-time spoken language system using commercial hardware Proceedings of the workshop on Speech and Natural Language, (72-77)
- Miller D The role of simulation in planning Proceedings of the 19th conference on Winter simulation, (530-533)
- Hayes P, Hauptmann A, Carbonell J and Tomita M Parsing spoken language Proceedings of the 11th coference on Computational linguistics, (587-592)
- Biermann A, Rodman R, Rubin D and Heidlage J (1985). Natural language with discrete speech as a mode for human-to-machine, Communications of the ACM, 28:6, (628-636), Online publication date: 1-Jun-1985.
- Fox M Artificial intelligence in the factory of the future Proceedings of the ACM 12th annual computer science conference on SIGCSE symposium, (29-38)
- Bisiani R (1980). The harpy machine, ACM SIGIR Forum, 15:2, (128-136), Online publication date: 30-Apr-1980.
- Bisiani R The harpy machine Proceedings of the fifth workshop on Computer architecture for non-numeric processing, (128-136)
- Bisiani R The role of simulation in the development of task-oriented computer architectures Proceedings of the Second symposium on Small systems, (69-74)
- Bisiani R (1979). The role of simulation in the development of task-oriented computer architectures, ACM SIGSMALL Newsletter, 5:2, (69-74), Online publication date: 1-Apr-1979.
Please enable JavaScript to view thecomments powered by Disqus.
Recommendations
MFCC-GMM based accent recognition system for Telugu speech signals
Speech processing is very important research area where speaker recognition, speech synthesis, speech codec, speech noise reduction are some of the research areas. Many of the languages have different speaking styles called accents or dialects. ...
Speech disorder Malay speech recognition system
SENSIG'09/VIS'09/MATERIALS'09: Proceedings of the 2nd WSEAS International Conference on Sensors, and Signals and Visualization, Imaging and Simulation and Materials ScienceAutomatic speech recognition systems have the potential to make hard to understand speech more easily recognizable. Designing a system that recognizes impaired speech is more difficult than a system that recognizes normal speech. The Automatic Malay ...