ITTC Project


Speaker-Independent Isolated Word Recognition Using a Feed-Forward Artificial Neural Network

Project Award Date: 0000-00-00



Description

In recent years Hidden Markov Model (HMM) and Dynamic Time Warping (DTW) algorithm have been successfully used in a developing a high performance speaker-independent isolated word recognition system. Even though HMM based word recognition system can achieve high recognition rates, the a-priori choice of the model topology hinders the flexibility of the model by including non-explicit knowledge of the speech recognition process. Also, testing a word using DTW algorithm needs extensive computing power if a real-time performance is required. On the other hand recent studies show that an artificial neural network (ANN) can be trained without the knowledge of the a-priori distribution of the data and the testing process is much faster than the DTW based algorithm. In this investigation, a feed-forward artificial neural network is trained using back-propagation learning algorithm to perform as a speaker independent isolated word recognizer. During training, the LPC coefficients are extracted from several repetitions of each word and these LPC coefficients are used at the input of the network as the feature vectors. An ANN is first trained, using back-propagation learning algorithm, to recognize ten different words. The network is then tested using the feature vectors for the ten words that are not used during the training process. The success rate achieved by the ANN is compared with the success rate achieved the DTW algorithm. The result indicates that a properly trained ANN can provide superior performance in word recognition as compared to the DTW algorithm, especially in a noisy environment.


Investigators




Partner with ITTC

The Information and Telecommunication Technology Center at the University of Kansas has developed several assistance policies that enhance interactions between the Center and local, Kansas, or national companies. 

ITTC assistance includes initial free consulting (normally one to five hours). If additional support is needed, ITTC will offer one of the following approaches: 

Sponsored Research Agreement

Individuals and organizations can enter into agreements with KUCR/ITTC and provide funds for sponsored research to be performed at ITTC with the assistance of faculty, staff and students.

Licensing and Royalty/Equity Agreement

An ITTC goal is the development of investment-grade technologies for transfer to, and marketing by, local, Kansas, and national businesses. To enhance this process, the Center has developed flexible policies that allow for licensing, royalty, and equity arrangements to meet both the needs of ITTC and the company.

Commercialization Development

Companies with a technology need that can be satisfied with ITTC's resources can look to us for assistance. We can develop a relationship with interested partners that will provide for the development of a technology suited for commercialization.

ITTC Resource Access

ITTC resources, including computers and software systems, may be made available to Kansas companies in accordance with the Center's mission and applicable Regents and University policies.

ITTC Calendar
There are no upcoming events at this time.