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

Nixon

書目名稱Automatic Speech Recognition影響因子(影響力)




書目名稱Automatic Speech Recognition影響因子(影響力)學科排名




書目名稱Automatic Speech Recognition網絡公開度




書目名稱Automatic Speech Recognition網絡公開度學科排名




書目名稱Automatic Speech Recognition被引頻次




書目名稱Automatic Speech Recognition被引頻次學科排名




書目名稱Automatic Speech Recognition年度引用




書目名稱Automatic Speech Recognition年度引用學科排名




書目名稱Automatic Speech Recognition讀者反饋




書目名稱Automatic Speech Recognition讀者反饋學科排名

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.

Affirm

異端

言外之意

勤勞

sorbitol

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.