Signal Processing Stack Exchange
Signal Processing Stack Exchange

Questions tagged [hmm]

18 questions
8
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2 answers

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 wearing a glove to avoid background subtraction…
test
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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 speech into separate words. I am thinking of using…
Gaurav Deshmukh
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2
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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: 1) Process the (input) .wav speech signal 2) Extract the MFCC Coefficients (13)…
Phorce
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2
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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 $$dX_{t}=\frac{1}{2}\left(\alpha(1-x)-\beta x\right)dt+\sqrt{X_{t}(1-X_{t})}dB_{t}$$ with…
ric_fog
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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 through a Baum–Welch function in order to train the…
Phorce
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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 for each word 2) for each word train it on the 10…
Bassel Safwat
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1 answer

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 understand what M would represent in the data I am trying…
Phorce
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1 answer

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 overcome by using deltas and double-deltas. But…
h_r_kr_shn_n
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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 and each such HMM model has 3 states representing…
user2530619
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1 answer

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 with: $$\lambda_{max}^\theta = \text{arg}…
stock username
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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. Tokuda et al., "Speech synthesis based on hidden…
stock username
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0
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1 answer

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 generated automatically without the need of…
Phorce
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1 answer

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: training =…
Phorce
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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 literature on this topic, I found out that Fourier…
DGT
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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 there are still a couple of things I find…
Celdor
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