CODEWITHSUNDEEP
machine-learningartificial-intelligencespeech-recognitionspeech-to-texthidden-markov-models
arduinolover
arduinolover

Reputation: 176

Speech recognition using HMMs

I am using Hmm for speech recognition of separate words. I have trained my Hmms for my database. I calculate and compare likelihood probabilities for an incoming audio signal. The problem I have is different words have different number of optimal states which will give different number of search paths (number of search paths = states^observations ) so probabilities can't be compared. How do I normalize the effect of different number of states?

Upvotes: 0

Views: 413

Answers (1)

Alexander Solovets
Alexander Solovets

Reputation: 2507

You need either context free grammar or language model (usually - 3-gram probabilistic model) to recognize utterances rather than single words. Then you use appropriate algorithm to calculate score for each path. I strongly recommend you to take a look at existing solutions like Kaldi or CMUSphinx.

Upvotes: 4

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