以及范围更广的介绍，可参考Keiichi Tokuda, et al. Speech Synthesis Based on Hidden Markov Models....
(1996). Hmm based on-line handwriting recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10), 1039-1045.J Y Hu,M K Brownand,W Turin.HMM based on-line handwriting recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence. 1996...
一种用于基于一种或多种语言的文本来生成语音的示例性方法,该方法包括提供两种或更多语言的音素集,训练包括跨语言状态级共享的多语言HMM,接收该多语言HMM的语言中的一种或多种语言的文本,以及至少部分地基于该多语言HMM来生成对应于所接收到的文本的语音. Based on one or more languages of text to generate ...
[1]https://github.com/bmwcarit/barefoot [2] C.Y. Goh, J. Dauwels, N. Mitrovic, M.T. Asif, A. Oran, and P. Jaillet. Online map-matching based on Hidden Markov model for real-time traffic sensing applications. In International IEEE Conference on Intelligent Transportation Systems, 2012...
48 HMM-based Brazilian Portuguese TTS Daniela Braga, Pedro Silva, Manuel Ribeiro, Mário Henriques, Miguel Sales Dia MLDC – Microsoft Language Development Center, Porto Salvo, Portugal i-dbraga; i-pedros; i-manrib; i-marioh; midias}@microsoft.com Abstract In this paper, a Hidden Markov ...
inferCNV HMM based CNV Prediction methods We currently support two models for HMM-based CNV prediction, what we refer to as the i3 and i6 models. These are set in the 'infercnv::run()' as HMM_type='i3' or HMM_type='i6' (i6 is default). Each method operates on the 'preliminary ...
HMM Based Emotion Detection in Games 来自 Semantic Scholar 喜欢 0 阅读量: 20 作者: Prerna Mishra 摘要: There has been always this question asked, do games really need emotion intelligence? With the advances in artificial intelligence and great researches in computer internal structure, gaming ...
With the aid of a class of Lyapunov function subject to parameter-dependent and mode-dependent constraints, sufficient conditions ensuring the existence of HMM-based filters are obtained such that the filtering error system is stochastically stable with a guaranteed H∞ error performance. The ...
This paper presents a hidden Markov model (HMM) based fuzzy rule extraction technique for predicting a time series generated by a chaotic dynamical system. The model uses three sequential phases. Firstly, the HMM is used to partition the input dataset based on the ordering of the calculated log...
This paper discusses two novel HMM based techniques that segregate a speech segment from its concurrent background. The first method can be reliably used in clean environments while the second method, which makes use of the wavelets denoising technique, is effective in noisy environments. These ...