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Abstract for sinha_eurospeech05
mi.eng.cam.ac.uk/reports/abstracts/sinha_eurospeech05.html27 Jul 2020: all the test data together or 8.6% when processing the test data shows independently. | -
Abstract for sparckjones_cltr517
mi.eng.cam.ac.uk/reports/abstracts/sparckjones_cltr517.html27 Jul 2020: The focus is primarily on retrieval studies, and on speech tests directly related to retrieval, not on speech recognition itself. ... The report draws on the many and varied tests done during the project, but also presents a new series of results -
Abstract for woodland_darpa98
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_darpa98.html27 Jul 2020: The complete system yields an overall word error rate of 22.0% on the 1996 unpartitioned broadcast news development test data and just 15.8% on the 1997 evaluation test set. | -
Abstract for prager_tr106
mi.eng.cam.ac.uk/reports/abstracts/prager_tr106.html27 Jul 2020: For high dimensional inputs the performance of the single layer network alone is better on the test data, whereas for low dimensional inputs a two layer adaptive network is required and ... this needs much more training before it can produce a better -
Abstract for fransen_tr192
mi.eng.cam.ac.uk/reports/abstracts/fransen_tr192.html27 Jul 2020: It consists of speaker-independent (SI) read material, split into training, development test and evaluation test sets. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_19_3These developments can be very hard to test, since there is no clinically viable 'gold standard' CT scan to compare the results with. -
Statistical Pattern Processing - Module 4F10
mi.eng.cam.ac.uk/~mjfg/local/4F10/24 Nov 2016: matlab.zip matlab routines (iris example data). mlpdemo - mlp training on iris data [train: iris_tra, tests: iris_tes]. ... gmmdemo - gmm training on iris data [train: iris_tra, tests: iris_tes]. -
Abstract for rohling_thesis
mi.eng.cam.ac.uk/reports/abstracts/rohling_thesis.html27 Jul 2020: An initial series of tests are performed in vitro. The statistical theory to predict the increase in signal to noise ratio is developed and verified empirically. ... Having proven the benefits of spatial compounding in vitro, tests with higher levels of -
The twitchy trailer
mi.eng.cam.ac.uk/IALego/trailer.html1 Jan 2024: inverted pendulum, and it has become a classic test case for evaluating automatic control strategies. -
Abstract for woodland_icassp94
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_icassp94.html27 Jul 2020: word bigram "hub" tests and the second lowest error rate on the 20k word trigram "hub" test. -
The terrific TV camera
mi.eng.cam.ac.uk/IALego/TV.html1 Jan 2024: this test card and scan it with your camera. Do the squares remain square at all positions in the image? -
Abstract for hain_stw00
mi.eng.cam.ac.uk/reports/abstracts/hain_stw00.html27 Jul 2020: word error rate on the 1998 evaluation test set. -
Abstract for wu_tr94
mi.eng.cam.ac.uk/reports/abstracts/wu_tr94.html27 Jul 2020: These tests have shown the applicability of nonlinear prediction to speech coding and the improvement in coding performance. -
Abstract for tuerk_tr402
mi.eng.cam.ac.uk/reports/abstracts/tuerk_tr402.html27 Jul 2020: In a number of test cases this algorithm is shown to converge reliably to the correct results. | -
Effects of Out of Vocabulary Words in Spoken Document Retrieval
mi.eng.cam.ac.uk/reports/full_html/woodland_sigir00.html/14 Aug 2000: This parallel collection was larger and thought to be more reliable than the automatically transcribed test collection. ... A strategy proven to work well in SDRĀ [2] is blind relevance feedback (BRF) on the test collection. -
Abstract for evermann_icassp2004
mi.eng.cam.ac.uk/reports/abstracts/evermann_icassp2004.html27 Jul 2020: The final 2003 CU-HTK CTS system constructed from some of these models is described and its performance on the DARPA/NIST 2003 Rich Transcription (RT-03) evaluation test set is -
Abstract for gales_tr154
mi.eng.cam.ac.uk/reports/abstracts/gales_tr154.html27 Jul 2020: This mismatch' function is then used to estimate the difference in channel conditions between training and test environments. -
Abstract for lovell_tr299
mi.eng.cam.ac.uk/reports/abstracts/lovell_tr299.html27 Jul 2020: Given insufficient training data, such a model's test set performance will be lower than that of a suitably biased model. -
Abstract for odell_darpa99
mi.eng.cam.ac.uk/reports/abstracts/speech/odell_darpa99.html27 Jul 2020: On the 1998 test the system produced an average word error rate of 16.1% running in 9.5xRT. | -
Abstract for waterhouse_hme
mi.eng.cam.ac.uk/reports/abstracts/waterhouse_hme.html27 Jul 2020: In this paper we extend the HME to classification and results are reported for three common classification benchmark tests: Exclusive-Or, N-input Parity and Two Spirals.
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