The tag has no usage guidance.

learn more… | top users | synonyms

0
votes
0answers
34 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 ...
0
votes
1answer
37 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? ...
0
votes
1answer
34 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
1answer
28 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. ...
0
votes
0answers
10 views

Estimating emission and transition probabilities separately in HMM

Suppose I have a set of $N$ timeseries sequences $\mathcal{O_t},t=1,2,\ldots N$ as observations wherein each sequence is of length $T$ i.e. $\mathcal{O_t} = \{O_1^{(t)},O_2^{(t)}\ldots O_T^{(t)}\}$. I ...
0
votes
0answers
39 views

Implementation of HMM with continuous emission

I have a classification problem that, based on continuous features from a 1D signal, should classify to a finite amount of stages (discrete). There is a temporal evolution in the signal, so I am ...
0
votes
0answers
12 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 ...
3
votes
2answers
163 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 ...
2
votes
0answers
66 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 ...
0
votes
1answer
141 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 ...
1
vote
0answers
131 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 ...
7
votes
2answers
2k 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 ...
2
votes
0answers
196 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: ...
1
vote
1answer
515 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 ...
0
votes
1answer
206 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: ...