Questions tagged [gaussian-mixture-models]

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Backpropagation with a GMM approximation in pytorch

Let suppose that I have a distance $d_{\text{GMM}}$ in the space of Gaussian mixture models (denoted $\text{GMM}(\mathbb{R}^n))$. Given a discrete distribution $\mu_{\text{data}}$ I would like to create a generator $G_\theta$ (small neural network…
NancyBoy
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GMM. Initialization and training

In a speech recognition system, I want to train a GMM with Baum-Welsch algorithm. To do this, the GMM needs to be initialized with initial values. How do I do this initialization? Do I need to have audio recordings for a specific sound (phone) from…
ASR
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Looking for help on initializing continuous HMM model for word level ASR

I have been studying HMM implementation approaches on ASR for the last couple of weeks. This probabilistic model is very new to me. I am currently using a Python package called Pomegranate to implement an ASR model of my own for the Librispeech…
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Why does k-means have more bias than spectral clustering and GMM?

I ran into a 2019-Entrance Exam question as follows: The answer mentioned is (4), but some search on google showed me maybe (1) and (2) is equal to (4). Why would k-means be the algorithm with the highest bias? (Can you please also provide…