Real-time Phoneme Recognition System Using Max Flow Matching

Phoneme recognition using time-delay neural networks

In this paper we present a Time-Delay Neural Network (TDNN) approach to phoneme recognition which is characterized by two important properties. 1) Using a 3 layer arrangement of simple computing units, a hierarchy can be constructed that allows for the formation of arbitrary nonlinear decision surfaces. The TDNN learns these decision surfaces automatically using error backpropagation 111. 2) Th...

Phoneme recognition using time-warping neural networks

This paper proposes a novel neural network architecture for phoneme-based speech recognition. The new architecture is composed of five time-warping sub-networks and an output layer which integrates the sub-networks. Each time-warping sub-network has a different time-warping function embedded between the input layer and the first hidden layer. A time-warping sub-network recognizes the input spee...

Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

An Automatic Real Time Impedance Matching System for Use in an RF Electrostatics Accelerator Ion Source

Neural Network with Application to Real Time Phoneme Recognition

In hopes of improving real-time speech recognition, a biologically based phoneme recognition algorithm was implemented on the NP-4 neural computer. The NP-4 neural computer, which contains programmable interconnects, neurons, synapses, and synaptic time constants, is extremely useful in computation of real-world dynamic patterns as they occur in speech. Prior to this summer, some implementation...