標(biāo)題: Titlebook: Discriminative Learning for Speech Recognition; Theory and Practice Xiaodong He,Li Deng Book 2008 Springer Nature Switzerland AG 2008 [打印本頁] 作者: Tamoxifen 時(shí)間: 2025-3-21 19:25
書目名稱Discriminative Learning for Speech Recognition影響因子(影響力)
書目名稱Discriminative Learning for Speech Recognition影響因子(影響力)學(xué)科排名
書目名稱Discriminative Learning for Speech Recognition網(wǎng)絡(luò)公開度
書目名稱Discriminative Learning for Speech Recognition網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Discriminative Learning for Speech Recognition被引頻次
書目名稱Discriminative Learning for Speech Recognition被引頻次學(xué)科排名
書目名稱Discriminative Learning for Speech Recognition年度引用
書目名稱Discriminative Learning for Speech Recognition年度引用學(xué)科排名
書目名稱Discriminative Learning for Speech Recognition讀者反饋
書目名稱Discriminative Learning for Speech Recognition讀者反饋學(xué)科排名
作者: fabricate 時(shí)間: 2025-3-21 22:33
1932-121X continuous-density HMMs in discriminative learning. Selected experimental results obtained by the authors in firsthand are presented to show that discriminative978-3-031-01429-1978-3-031-02557-0Series ISSN 1932-121X Series E-ISSN 1932-1678 作者: 休息 時(shí)間: 2025-3-22 03:09
Statistical Speech Recognition: A Tutorial,ing tool for characterizing acoustic features in speech. The purpose of this chapter is to set up the context in which HMM parameter learning and discriminative learning in particular, will be introduced.作者: Exaggerate 時(shí)間: 2025-3-22 08:09 作者: Provenance 時(shí)間: 2025-3-22 11:53 作者: 表皮 時(shí)間: 2025-3-22 15:35 作者: 表皮 時(shí)間: 2025-3-22 19:56
Selected Experimental Results, minimum classification error (MCE) training method on both small-vocabulary, well-controlled benchmark tests such as TIDIGITS, and on large-vocabulary, real-world speech recognition tasks such as commercial telephony large-vocabulary ASR (LV-ASR) applications. We show that the GT-based discriminati作者: 未完成 時(shí)間: 2025-3-23 00:11
978-3-031-01429-1Springer Nature Switzerland AG 2008作者: 輕快來事 時(shí)間: 2025-3-23 04:28
Sustainable Design for Global Equilibriuming tool for characterizing acoustic features in speech. The purpose of this chapter is to set up the context in which HMM parameter learning and discriminative learning in particular, will be introduced.作者: CESS 時(shí)間: 2025-3-23 06:52
https://doi.org/10.1007/978-3-030-94818-4HMMs). These are: maximum mutual information (MMI), minimum classification error (MCE), and minimum phone error/minimum word error (MPE/MWE). We also compare our unified form of these objective functions with another popular unified form in the literature.作者: 期滿 時(shí)間: 2025-3-23 11:35
Sustainable Design for Global Equilibriumdesign where each class is characterized by an exponential-family distribution discussed in Chapter 1. The next chapter extends the results here into the more difficult but practically more useful case of hidden Markov models (HMMs).作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-23 14:04 作者: 碎石頭 時(shí)間: 2025-3-23 20:06 作者: 無脊椎 時(shí)間: 2025-3-23 22:38
CSR, Sustainability, Ethics & GovernanceThe basic development of growth transformation (GT)-based optimization for the hidden Markov model (HMM) and of the unified objective function has been presented in earlier chapters, where several practical considerations and implementation issues are left to this chapter.作者: craving 時(shí)間: 2025-3-24 04:03 作者: 使腐爛 時(shí)間: 2025-3-24 09:24
Synthesis Lectures on Speech and Audio Processinghttp://image.papertrans.cn/e/image/281227.jpg作者: –FER 時(shí)間: 2025-3-24 12:47 作者: vascular 時(shí)間: 2025-3-24 17:58 作者: 鎮(zhèn)壓 時(shí)間: 2025-3-24 21:55
https://doi.org/10.1007/978-3-030-94818-4HMMs). These are: maximum mutual information (MMI), minimum classification error (MCE), and minimum phone error/minimum word error (MPE/MWE). We also compare our unified form of these objective functions with another popular unified form in the literature.作者: 燕麥 時(shí)間: 2025-3-25 00:52 作者: 廣口瓶 時(shí)間: 2025-3-25 06:14 作者: 愛了嗎 時(shí)間: 2025-3-25 10:13
Discriminative Learning: A Unified objective Function,HMMs). These are: maximum mutual information (MMI), minimum classification error (MCE), and minimum phone error/minimum word error (MPE/MWE). We also compare our unified form of these objective functions with another popular unified form in the literature.作者: meretricious 時(shí)間: 2025-3-25 14:39
Discriminative Learning Algorithm for Exponential-Family Distributions,design where each class is characterized by an exponential-family distribution discussed in Chapter 1. The next chapter extends the results here into the more difficult but practically more useful case of hidden Markov models (HMMs).作者: Proclaim 時(shí)間: 2025-3-25 17:03 作者: FAR 時(shí)間: 2025-3-25 20:18 作者: Subdue 時(shí)間: 2025-3-26 03:17
1932-121X ech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (M作者: 星球的光亮度 時(shí)間: 2025-3-26 04:26
CSR, Sustainability, Ethics & Governancey, real-world speech recognition tasks such as commercial telephony large-vocabulary ASR (LV-ASR) applications. We show that the GT-based discriminative training gives superior performance over the conventional maximum likelihood (ML)-based training method.作者: 啤酒 時(shí)間: 2025-3-26 12:03 作者: NUL 時(shí)間: 2025-3-26 14:59
Book 2008ition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minim作者: 感染 時(shí)間: 2025-3-26 18:39 作者: GEN 時(shí)間: 2025-3-26 22:24
Maricy Raquel Lindenbah Bonfá,Caio César Achiles do Prado,Francine Amaral Piubeli,Lucia Regina Durrantability in the limit, finite inferability and refutable inferability of systems from their observations. First, we give some characterization theorems on inferability. We also consider inferability from presentations with some additional informations. Finally, we propose phenomena generated by finite automata and discuss their inferability.作者: 卵石 時(shí)間: 2025-3-27 01:21 作者: anachronistic 時(shí)間: 2025-3-27 07:49
K. C. Rawlings,J. C. A. van der Sluijs question. Who would dominate in Western Europe after the collapse of the Roman Empire? The corresponding “Eastern” question has been who will dominate East Asia after the disintegration of the Han Empire? While the questions of regional dominance are similar, the way in which the questions have pla作者: glacial 時(shí)間: 2025-3-27 11:42
Hans Fischerics, whereby the mathematical theory of stochastic processes could be integrated in a fundamental sense with the deterministic approach to economic modeling. On seeing the current progress of economic theory in the direction of dynamic and stochastic phenomena, one is struck with a sense of wonder a作者: 狂怒 時(shí)間: 2025-3-27 15:33 作者: 劇本 時(shí)間: 2025-3-27 19:30
Mind that User’s Mind: Incorporating Cultural Difference to User-centred Design Approachesater than ever. We are also increasingly able to fabricate pictures through the manipulation of visual information. With this surge to a potentially worldwide ‘connectedness’ comes the opportunity, if not responsibility, for the design profession to consider its implications. While it might not be o作者: 變形詞 時(shí)間: 2025-3-27 22:37 作者: Amylase 時(shí)間: 2025-3-28 04:23
