Method and Apparatus for Using Convolutional Neural Networks in Speech Recognition

An apparatus for performing speech recognition, the apparatus comprising:

• at least one processor;
• and
• at least one memory with computer code instructions stored thereon, the at least one processor and the at least one memory with computer code instructions being configured to cause the apparatus to:
• process, by a cascade of at least two convolutional layers of a convolutional neural network, feature parameters extracted from audio data;
• process, by a cascade of at least two fully connected layers of the convolutional neural network, output of the cascade of the at least two consecutive convolutional layers;
• and
• provide a textual representation of the input audio data based on the output of a last layer of the at least two consecutive fully connected layers of the convolutional neural network.

A non-transitory computer-readable medium storing thereon computer software instructions for performing speech recognition, the computer software instructions when executed by a processor cause an apparatus to perform:

• processing, by a cascade of at least two convolutional layers of a convolutional neural network, feature parameters extracted from audio data;
• processing, by a cascade of at least two fully connected layers of the convolutional neural network, output of the cascade of the at least two consecutive convolutional layers;
• and
• providing a textual representation of the input audio data based on the output of a last layer of the at least two consecutive fully connected layers of the convolutional neural network.