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GitHub / nilkanthshirodkar / Speech-Recognition-Using-HMM
Automatic Speech Recognition (ASR) system was implemented using the HMM toolkit for building HMM model using training data. Then, this trained HMM Model was used for recognising words and results revealed that 80.02% accuracy for Phoneme Level Acoustic Model and 79.36% accuracy for word Level Acoustic Model. This developed system can be used by developers and researchers who are interested in speech recognition for language and any other related Indian languages.
Stars: 6
Forks: 1
Open Issues: 0
License: None
Language: Groff
Repo Size: 20.7 MB
Dependencies: pending
Created: over 7 years ago
Updated: over 3 years ago
Last pushed: over 7 years ago
Last synced: about 1 year ago
Topics: hidden-markov-model, hmm, hmm-model, speech-recognition, speech-recognizer, speech-to-text, sphinx