AVOW 发表于 2025-3-25 04:08:49
Summary of Results,Figure 8-1 shows improvements from earlier versions of SPHINX. The seven versions in Figure 8-1 correspond to the following descriptions with incremental improvements:锡箔纸 发表于 2025-3-25 09:15:34
https://doi.org/10.1007/978-1-4615-3650-5N-Gramm; Symbol; artificial intelligence; behavior; cognition; complexity; grammar; hidden Markov model; int威胁你 发表于 2025-3-25 13:16:54
978-1-4613-6624-9Springer Science+Business Media New York 1989coagulation 发表于 2025-3-25 18:51:46
http://reply.papertrans.cn/17/1665/166447/166447_24.png不如乐死去 发表于 2025-3-25 22:17:06
http://reply.papertrans.cn/17/1665/166447/166447_25.pngMisnomer 发表于 2025-3-26 01:14:18
http://reply.papertrans.cn/17/1665/166447/166447_26.png食品室 发表于 2025-3-26 06:54:21
http://reply.papertrans.cn/17/1665/166447/166447_27.pngdebacle 发表于 2025-3-26 12:02:34
https://doi.org/10.1007/978-1-84628-915-6hapters, we have used phones as the fundamental unit of speech. An even more natural unit is words. In this chapter, we will discuss the strengths and 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 substFlinch 发表于 2025-3-26 12:55:19
http://reply.papertrans.cn/17/1665/166447/166447_29.pngIsometric 发表于 2025-3-26 19:29:58
Changes for Global Products and PLM,ov modeling, a powerful mathematical learning paradigm. We also decided to use vector quantization and discrete HMMs for expedience and practicality. Then we attacked the problems of large vocabulary, speaker independence, and continuous speech within our discrete HMM framework.