Speech emotional recognitionHidden Markov Model (HMM)Log frequency power coefficients(LFPC)Emotional feature vectorIn emotion classification of speech signals,the popular features employed are statistics of fundamental frequency,energy contour,duration of silence and voice quality.However,the performance of ...
按照这个定义，统计参数语音合成不一定必须使用HMM，但HMM是最为主流的模型。这得益于之前HMM在语音识别领...
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 ...
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 ...
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 infercnv object' which has been processed th...
IEEETRANSACTIONSONAUDIO,SPEECH,ANDLANGUAGEPROCESSING,VOL.19,NO.5,JULY20111091HMM-BasedMultipitchTrackingforNoisyandReverberan..
To manipulate the layout analysis problem for complex or irregular document image, a Unified HMM-based Layout Analysis Framework is presented in this paper. Based on the multi-resolution wavelet analysis results of the document image, we use HMM method in both inner-scale image model and trans-...
Accordingly, it is used as the basic algorithm for the training of HMM model. Test results show that the static performance of HMM-based method depends only on the total number of Gaussian components of HMM model, while its dynamic performance depends dominantly on the number of states of the...
Mizera, P., Pollak, P.: Accuracy of HMM-based phonetic segmentation using monophone or triphone acoustic model. In: Proc. of Applied Electronics, Pilsen, Czech Republic (2013)Mizera P., Pollak P.: Accuracy of HMM-based phonetic segmentation using monophone or triphone acoustic model. ...
A Semi-Continuous State-Transition Probability HMM-Based Voice Activity Detector We introduce an efficient hidden Markov model-based voice activity detection (VAD) algorithm with time-variant state-transition probabilities in the underl... H Othman,T Aboulnasr - 《Eurasip Journal on Audio Speech & ...