Normalized Error Rate
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evaluating calibration word error rate python of a two-class recognizer such as a speaker
Word Error Rate Calculation Tool
recognizer. It compares the actual Bayes decision error-rate with an optimally calibrated version, both as functions of the error rate formula target prior. Both error-rates are normalized, so that a wider range of operating points can be displayed than in APE-curves.For details, see section 7.6 in:Niko Brummer, Measuring, refining and calibrating speaker and language information extracted from speech, Ph.D. dissertation, University of Stellenbosch, October 2010. Online: here or here. Sign in|Recent Site Activity|Report Abuse|Print Page|Powered By Google Sites
be challenged and removed. (March 2013) (Learn how and when to remove this template message) In digital transmission, the number of bit errors is the number of received bits of a data stream over a communication channel
Word Error Rate Speech Recognition
that have been altered due to noise, interference, distortion or bit synchronization errors. The
Word Error Rate Algorithm
bit error rate (BER) is the number of bit errors per unit time. The bit error ratio (also BER) is word error rate matlab the number of bit errors divided by the total number of transferred bits during a studied time interval. BER is a unitless performance measure, often expressed as a percentage.[1] The bit error probability pe is https://sites.google.com/site/bosaristoolkit/normalized-dcf-curves the expectation value of the bit error ratio. The bit error ratio can be considered as an approximate estimate of the bit error probability. This estimate is accurate for a long time interval and a high number of bit errors. Contents 1 Example 2 Packet error ratio 3 Factors affecting the BER 4 Analysis of the BER 5 Mathematical draft 6 Bit error rate test 6.1 Common types of https://en.wikipedia.org/wiki/Bit_error_rate BERT stress patterns 7 Bit error rate tester 8 See also 9 References 10 External links Example[edit] As an example, assume this transmitted bit sequence: 0 1 1 0 0 0 1 0 1 1 and the following received bit sequence: 0 0 1 0 1 0 1 0 0 1, The number of bit errors (the underlined bits) is, in this case, 3. The BER is 3 incorrect bits divided by 10 transferred bits, resulting in a BER of 0.3 or 30%. Packet error ratio[edit] The packet error ratio (PER) is the number of incorrectly received data packets divided by the total number of received packets. A packet is declared incorrect if at least one bit is erroneous. The expectation value of the PER is denoted packet error probability pp, which for a data packet length of N bits can be expressed as p p = 1 − ( 1 − p e ) N {\displaystyle p_{p}=1-(1-p_{e})^{N}} , assuming that the bit errors are independent of each other. For small bit error probabilities, this is approximately p p ≈ p e N . {\displaystyle p_{p}\approx p_{e}N.} Similar measurements can be carried out for the transmission of frames, blocks, or symbols. Factors affecting the BER[ed
van GoogleInloggenVerborgen veldenBoekenbooks.google.nl - This book presents the refereed proceedings of the 7th Portuguese Conference on Artificial Intelligence, https://books.google.com/books?id=XGIjo2NCBWQC&pg=PA190&lpg=PA190&dq=normalized+error+rate&source=bl&ots=N-sVaKXpUk&sig=qBzsdJi5MTQGmOrO2x0WfA7xnfk&hl=en&sa=X&ved=0ahUKEwjZ8IXL4-PPAhUB44MKHYnpAcoQ6AEINTAE EPIA'95, held in Funchal, Madeira Island, Portugal, in October 1995.The 30 revised full papers and the 15 poster presentations included were selected during a highly competitive selection process...https://books.google.nl/books/about/Progress_in_Artificial_Intelligence.html?hl=nl&id=XGIjo2NCBWQC&utm_source=gb-gplus-shareProgress in Artificial IntelligenceMijn bibliotheekHelpGeavanceerd zoeken naar boekenGedrukt boek aanschaffenGeen eBoek beschikbaarSpringer ShopBol.comProxis.nlselexyz.nlVan StockumZoeken in een error rate bibliotheekAlle verkopers»Boeken kopen Google PlayBrowse door 's werelds grootste eBoekenwinkel en begin vandaag nog met lezen op internet, je tablet, telefoon of eReader.Ga nu naar Google Play »Progress in Artificial Intelligence: 7th Portuguese Conference on Artificial Intelligence, EPIA '95, Funchal, Madeira Island, Portugal, October word error rate 3 - 6, 1995. Proceedings, Volume 7Carlos Pinto-Ferreira, Nuno J. MamedeSpringer Science & Business Media, 22 sep. 1995 - 487 pagina's 0 Recensieshttps://books.google.nl/books/about/Progress_in_Artificial_Intelligence.html?hl=nl&id=XGIjo2NCBWQCThis book presents the refereed proceedings of the 7th Portuguese Conference on Artificial Intelligence, EPIA'95, held in Funchal, Madeira Island, Portugal, in October 1995.The 30 revised full papers and the 15 poster presentations included were selected during a highly competitive selection process from a total of 167 submissions from all over the world. Among the topics covered are automated reasoning and theorem proving, belief revision, constraint-based reasoning, distributed artificial intelligence, genetic algorithms, machine learning, neural networks, non-monotonic reasoning, planning and case-based reasoning, qualitative reasoning, robotics and control, and theory of computation. Voorbeeld weergeven » Wat mensen zeggen-Een recensie schrijvenWe hebben geen recensies gevonden op de gebruikelijke plaatsen.Geselecteerde p