Nepali Speech Recognition Using CNN, GRU and CTC

Nepali Speech Recognition Using CNN, GRU and CTC

Communication is an important part of life. To use communication technology efficiently we need to know how to use them or how to instruct these devices to perform tasks. Automatic speech recognition plays an important role in interaction with the technology. Nepali speech recognition involves in conversion of Nepali speech to its correct Nepali transcriptions. The purposed model consists of CNN, GRU and CTC network. The feature in the raw audio is extracted by using MFCC algorithm. CNN is for learning high level features. GRU is responsible for constructing the acoustic model. CTC is responsible for decoding. The dataset consists of 18 female speakers. It is provided by Open Speech and Language Resources. The build model can predict the with the WER of 11%.