![]() ![]() At LumenVox, our Research and Development team is currently utilizing Time Depth Separable Convolutional Neural Networks (TDS CNN).Ĭonvolutional Neural Networks are advantageous for a few reasons: They are computationally efficient, making them highly useful for mobile applications, and they have fewer knobs to toy with, fewer parameters to adjust. Which Neural Network for Automatic Speech Recognition?ĭeep Neural Networks are transforming the way humans interact, playing an important role in the technological revolution of artificial intelligence. When it comes to speech technology, neural networks enable us to push the limits of speech recognition. ![]() More specifically, neural networks are a series of algorithms, whose job it is to identify relationships within a set of data, a process that simulates the way a human brain identifies underlying connections. Deep Neural Networks can achieve state-of-the-art performance in many different fields, even exceeding human-level performance on some of them. These models are trained using very large sets of data and neural network topologies with many hidden layers, to which the word “deep” refers. A crucial building block of artificial intelligence is deep learning.ĭeep learning refers to the process of a computer model learning how to do classification tasks by example, directly from audio, text, or images. Already an established technology, Automatic Speech Recognition is growing by leaps and bounds each year, especially as artificial intelligence contributes to evolution. The development of Automatic Speech Recognition techniques continues to accelerate.
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