Myanmar Language Speech Recognition with Hybrid Artificial Neural Network and Hidden Markov Model
نویسندگان
چکیده
There are many artificial intelligence approaches used in the development of Automatic Speech Recognition (ASR), hybrid approach is one of them. The common hybrid method in speech recognition is the combination of Artificial Neural Network (ANN) and Hidden Markov Model (HMM). The hybrid ANN/HMM is able to classify the phoneme model and to combine the strength of HMM in sequential modeling structure. Thus, this paper proposed a speaker independent and continuous Myanmar Language speech recognition by using the hybrid ANN/HMM method.
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