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Questions tagged [hmm]

0 votes
0 answers
36 views

I am implementing my HMM-GMM speech recognition model. Right now I am facing a problem described below. Given phone-level HMMs A and B, build word-level HMM C. In this questions lets assume that ...
ASR's user avatar
  • 1
0 votes
0 answers
64 views

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-...
Anantha Krishnan's user avatar
0 votes
1 answer
115 views

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 ...
Owen K's user avatar
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1 vote
1 answer
115 views

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 ...
mavavilj's user avatar
  • 1,464
0 votes
1 answer
127 views

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 ...
DGT's user avatar
  • 15
1 vote
1 answer
114 views

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 ...
H.K.P. Anilkumar's user avatar
-1 votes
2 answers
384 views

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 ...
weifeng's user avatar
2 votes
0 answers
50 views

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)-\...
ric_fog's user avatar
  • 21
0 votes
0 answers
97 views

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 ...
Celdor's user avatar
  • 452
2 votes
0 answers
2k views

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 ...
user2530619's user avatar
0 votes
1 answer
265 views

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? ...
stock username's user avatar
1 vote
1 answer
64 views

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 ...
stock username's user avatar
1 vote
1 answer
78 views

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. ...
stock username's user avatar
0 votes
0 answers
32 views

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 ...
ronroo's user avatar
  • 33
3 votes
2 answers
823 views

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 ...
Gaurav Deshmukh's user avatar

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