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# Questions tagged [hmm]

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### Correct implementation of GMM-HMM for Speech Recognition

For N words, we have N HMMs. In each of the HMMs, the states are the GMMs. Each GMM models unique phoneme (with or without belonging to a particular context). It is these HMMs (words) that constitute ...
14 views

### Why HMM transition probabilities plays no significant role in speech modeling

I'm reading a thesis, it mainly uses a GMM-HMM to tackle the acoustic unit discovery task. It proposes a delicate Bayesian framework on top of the GMM-HMM. In page 15 it says Notice that we have not ...
37 views

### Understanding Baum's auxiliary function used in Hidden Markov Model

I am studying HMM from "Fundamentals of Speech Recognition" by Rabiner. Regarding the problem of how to adjust the parameters of a HMM, the proposed method was Baum Welch method (Expectation-...
12 views

### Exact computation cost using Forward Procedure for HMM probability evaluation

I am understanding the HMM concept for Speech Recognition. One of the three problems (HMM) to be solved is Probability evaluation $P(O|\lambda)$. Instead of a straightforward approach which is ...
69 views

### Simple speech recognition with hmm

I'm new to the field of Machine Learning and currently watching some lectures on speech recognition. I'm attempting to write a simple class implementation for a speech recognition model using Hidden ...
77 views

### Deciphering the (pre-Viterbi) HMM in Probabilistic YIN (pYIN)?

I'm having slight difficulties in inferring all the details of the HMM part in Probabilistic YIN (http://eecs.qmul.ac.uk/~simond/pub/2014/MauchDixon-PYIN-ICASSP2014.pdf) in order to understand the ...
• 1,414
114 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 ...
• 15
1 vote
104 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 ...
339 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 ...
48 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)-\...
• 21
94 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 ...
• 452
1 vote
2k 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 ...
249 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? ...
1 vote
55 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 ...
1 vote
72 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. ...
30 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 ...
• 33
794 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 ...
83 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 ...
• 485
1 vote
209 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 ...
• 485
1 vote
218 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 ...
4k views

### 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 ...
• 183
309 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: ...
• 485
1 vote
782 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 ...
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