Search

25 May 2004: 8. REFERENCES. [1] NIST, “The Rich Transcription Spring 2003 (RT-03S)Evaluation Plan, version 4,” http://www.nist.gov/speech/tests/rt/rt2003/spring/docs/rt03-spring-eval-plan-v4.pdf , ... 2] NIST, “Benchmark Tests : Rich Transcription (RT),”http:/

22 Nov 2006: C-Aug ML CML 7.3 9.1. Table 1. Training and test error rates for CAN/CAN’T. ... model (tests on MMI HMMssuggest that this may yield a gain of up to 0.5% absolute).

20 Feb 2018: Note that the generated dialogues are used as trainingand test data for belief trackers as well as the GP policy. ... To test belief tracking accuracy, 5000 dialogues were gener-ated using the agenda-based simulated user and a handcraftedpolicy.

11 Jan 2008: 3.3. Test datasets. The test sets used to evaluate the systems are bnmdev06 and bcmdev05.bnmdev06 comprises 3.6 hours of data taken from a range of BNsources. ... It includes some of the standard existing test sets describedin [10], dev04f, eval03m and

16 Feb 2008: 120,000 instances in the training set. 8,000 instances in the test set. ... Lattice-based MMIE was performed. Test:. Test set is 8400 utterances ( 25 hours) from 10 heldout speakers.

27 Jul 2020: Front-end and language modelling experiments conducted using various training and test sets from both the Switchboard and Callhome English corpora are presented.

TPAs are economic, off-the-shelf, and they have several interesting properties. They can form flexible or rigid structures by means of existing fast-prototyping techniques and can be also used

27 Jul 2020: In this paper, we present a technique to compensate for out-of-plane rotations, which we test using simulations and in vitro experiments.

8 Mar 2000: Two versions of the HTK system were used in the experiments on TREC-6 SDR test data. ... This system gave a word error rate of 24.1% on the TREC-6 test data and ran in about 50 times real time.

27 Jul 2020: Both techniques yield a significant reduction in perplexity over the baseline trigram language model when faced with multi-domain test text, the mixture-based model giving a 24% reduction and the