(a path or partial path represents an alignment of states with the frames of speech starting from the start of the utterance and continuing to time t ),一条路径同时包含了它对应的历史状态序列及其似然概率,对于孤立词识别只需要找到最佳的状态序列即可,同理扩展到连续语音识别,我们就需要找到音素或单词...
function [HMM,LL] = trainHMM( HMM, data, max_iter ) % [HMM,LL] = trainHMM( HMM, data, max_iter ) % % inputs: % HMM : the HMM we wish to train % data{i}(d,n) : Cell array. The i'th sequence has dimension d and % length n % max_iter : the maximum iterations of...
Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework Most of the current state-of-the-art speech recognition systems are based on speech signal parametrizations that crudely model the behavior of the human au... K Markov,J Dang,S Nakamura - 《Speech ...
[3] University of Cambridge Engineering Part IIB & EIST Part II Module 4F11: Speech Processing Lecture 11: Continuous Speech Recognition [4] SGN-24006 Analysis of Audio, Speech and Music Signals lec09 [5] speech.zone
开发者ID:psilva-leo,项目名称:SpeechRecognition,代码行数:46,代码来源:hmm.py 示例11: select ▲点赞 1▼ defselect(self):warnings.filterwarnings("ignore", category=DeprecationWarning) max_score =Nonemax_model =Noneforninrange(self.min_n_components, self.max_n_components +1):try: ...
开发者ID:doannguyen94,项目名称:speech_recognition,代码行数:23,代码来源:speech_recognizer.py 示例5: TagHMM ▲点赞 1▼ # 需要导入模块: from hmm import HMM [as 别名]# 或者: from hmm.HMM importtrain[as 别名]classTagHMM(TestCase):"""Train and test an HMM POS tagger."""defsetUp(self):...
李宏毅DLHLP.05.Speech Recognition.3. HMM 当然,这只是alignment的一种可能,还有h 2 =abbbbch^2=abbbbc h2=abbbbc: 只给声音信号,不给alignment,可以有很多种结果,在HMM中的...: DNN-HMMHybrid 思想是用DNN来代替HMM中的GMM。 从公式上面看,DNN干的事情和GMM是不一样的,但是前人做了一个变化: 这个改进...
Spatio-temporal trajectories are time series data that represent movement of an object over the time. Hidden Markov Models (HMM), a variant of Markov Models (MM), were first applied at a large scale to speech recognition but have also been used in time series prediction by analyzing trends ...
These techniques train a classifier in an online manner to separate the object from its background. These methods only take input location of the object and a random feature pool; then, a classifier bootstraps itself by using the current tracker state and extracted positive and negative samples...
H Othman,T Aboulnasr - 《Eurasip Journal on Audio Speech & Music Processing》 被引量: 56发表: 2007年 Motion based event recognition using HMM Motion is an important cue for video understanding and is widely used in many semantic video analyses. We present a new motion representation scheme in...