Deep Speech Processing refers to the application of deep learning techniques to the task of speech recognition, which is the process of converting spoken language into text or interpreting speech for various applications. It involves using deep neural networks (DNNs), particularly recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and convolutional neural networks (CNNs), to process and understand speech signals in a more sophisticated and accurate manner compared to traditional methods.
see more...
Read More
