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A Comprehensive Study Of Residual Cnns For Acoustic Modeling In Asr
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A Comprehensive Study Of Residual Cnns For Acoustic Modeling In Asr
Long short-term memory (LSTM) networks are the dominant architecture for large vocabulary continuous speech recognition (LVCSR) acoustic modeling due to their good performance. However, LSTMs are hard to tune and computationally expensive. To build a syst
Long short-term memory (LSTM) networks are the dominant architecture for large vocabulary continuous speech recognition (LVCSR) acoustic modeling due to their good performance. However, LSTMs are hard to tune and computationally expensive. To build a syst