# Questions tagged [hmm]

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2answers
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### Gesture recognition with Hidden Markov Models

I am currently working on a gesture recognition system (for an Android Application). I think that I have completed the Image processing stage, where I am able to extract the contour of the hand (I am ...
2answers
760 views

### Initial state recognition in HMM

I am building a speech recognition system using Hidden Markov Model in python. I referred to this and this question and its answers, which were very helpful. In my approach, I split the continuous ...
0answers
40 views

### Filtering for Wright-Fisher HMM

I am trying to understand what filter may be suitable for the following HMM: The signal is a Wright-Fisher one-dimensional diffusion characterised by the SDE dX_{t}=\frac{1}{2}\left(\alpha(1-x)-\...
0answers
81 views

### Does the input data have to be passed through the Baum-Welsh function to compute the Viterbi decoder?

I'm using a Hidden Markov Model in order to train an application for gesture recognition. Currently, I have gathered samples, and, using a library have trained these values (They have been passed ...
0answers
277 views

### Most efficient algorithm for comparing two paths

I'm working with a Continuous Hidden Markov Model, and using the Viterbi Decoder which finds the best possible path for a given sequence. Here is how my algorithm works: ...
1answer
741 views

### Hidden Markov Models - Distinct Observation Symbols

I really, really hope someone can help me with regards to this question. I'm trying to implement a Hidden Markov Model (based off this paper: Here I understand the processes, but, I do not ...
1answer
52 views

### Effect of redundant training data in HMM-based speech recognizer/synthesizer?

How are redundant training data handled during the training stage? For example, assume we have one observation for phone $\theta$ in the training set. Then the training (for a monophone) is done ...
1answer
69 views

### Why are the observation features of an HMM-based recognition/synthesis system modeled by a Gaussian distribution?

Why are the observation features (namely MFCCs) of an HMM-based recognition/synthesis system modeled by a Gaussian distribution? Even the state duration is modeled by a Gaussian in this paper: K. ...
1answer
33 views

### Are delta and double delta features needed when classifying with LSTM

I understand that the combination of MFCCs, deltas and double deltas is a good feature to be used with HMMs for keyword detection problems. HMMs are limited by Markov Property and this limitation is ...
0answers
1k views

### What does the output of Gaussian Mixture Model (GMM) represents in a HMM-GMM based speech recognition application?

Till now I know that- first the speech is converted frames and feature vectors are calculated for each frame using MFCC. And while training the Acoustic model- HMM model is generate for each phoneme ...
0answers
216 views

### HTK word Recognition

I am using HTK to recognize which word has been said. I am working on 20 words and I have for each of them 10 .wav files. Here are the steps that i followed: 1) get the MFC file for each .wav file ...
1answer
186 views

### Speech Recognition - Subtitles

I am looking for ANY advice anyone can give me regarding on this problem. I'm looking to start a project on subtitles, basically, if we take a Youtube video of a breaking news story, subtitles are ...
1answer
376 views

### Hidden Markov Model

I am trying to construct a Hidden Markov Model to predict the next state to go to. I am doing an example system, or, a test system that contains the following: Ok so the training I have used is: ...
1answer
193 views

### HMM-based speech recognition/synthesis: state representation of monophones and triphones

In literature, a monophone is represented with 3 states. When doing context dependent clustering, 3 states are used to represent a triphone. Why is the triphone represented with 3 states and not 5? ...
0answers
21 views

### Targets for Deep Neural Network in acoustic model for speech recognition

I'm trying to come up to speed on the use of deep neural networks for speech recognition and I'm confused about what exactly are the targets for the DNN. I understand that the DNN tries to predict a ...
0answers
16 views

### How to combine multiple HMMs?

What are the techniques to combine together multiple HMMs related to the same process? Mental example: I train 3 different HMMs by observing the behavior of 3 animals. All these HMMs have the same ...
1answer
82 views

### How to group similar patterns together that are shifted along the x axis?

I have a set of time series plots that are shifted along the x-axis. I am looking for an algorithm using which I can group them together. My end goal is to average them. While reviewing the ...
0answers
71 views

### HMM and non categorical values of emmision (MATLAB)

I read through a tutorial on MATLAB website on HMM. It is not easy to digest so I had to look for other sources and found a good explanation on Wikipedia (HMM). Everything is more understandable but ...
0answers
26 views

### Role of HMM in speech recognition [duplicate]

What exactly hidden markov model does in speech recognition process? I read it is the representation of phonemes as states? What exactly is a state? Any detail article on HMM role in speech ...
2answers
171 views

### why the MFCC is gender indenpend and used for isolated word recognition

I think female and male have total different MFCC feature for same word such as "one", but why the MFCC could be used for isolated word recognition which use the same HMM model for the same word ...