Titlebook: Automatic Speech Recognition; The Development of t Kai-Fu Lee Book 1989 Springer Science+Business Media New York 1989 N-Gramm.Symbol.artifi

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書(shū)目名稱(chēng)Automatic Speech Recognition影響因子(影響力)




書(shū)目名稱(chēng)Automatic Speech Recognition影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Automatic Speech Recognition被引頻次




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文藝

Ccu106

0893-3405 om problem solving tasks such as puzzles and chess to perceptual tasks such as speech and vision, the problem characteristics change dramatically: knowledge poor to knowledge rich; low data rates to high data rates; slow response time (minutes to hours) to instantaneous response time. These characte

下船

https://doi.org/10.1007/978-1-84628-915-6 weaknesses of word and phone models, as well as a number of other units proposed by earlier work. Then, we will propose two new units that will substantially improve the performance of speaker-independent continuous speech recognizers. Finally, we will present comparative results of different variations of these units.

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盡忠

The Baseline SPHINX System, baseline system will use basic HMM techniques utilized by many other systems [Rabiner 83, Bahl 83a, Schwartz 84, Sugawara 85]. We will show that using these techniques alone, we can already attain reasonable accuracies.