Method and Apparatus for Using Convolutional Neural Networks in Speech Recognition

摘要

Speech recognition techniques are employed in a variety of applications and services serving large numbers of users. As such, there is an increasing demand for speech recognition systems with enhanced performance. Specifically, enhanced performance in large vocabulary continuous speech recognition (LVCSR) systems is a market demand. Herein, convolutional neural networks are explored as an alternative speech recognition approach and different CNN architectures are tested. According to at least one example embodiment, a method and corresponding apparatus for performing speech recognition comprise employing a CNN with at least two convolutional layers and at least two fully-connected layers in speech recognition. Using the CNN a textual representation of input audio data may be provided based on output data by the CNN.

主权项

1. A method of performing speech recognition, the method comprising:
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.