In this project a model has been created that with an audio sequence as input can classify the language being spoken to be either english or french. The focus of the project has been to experiment with different ways to process audio files and to design a neural network in order to maximize the performance for the task of language classification. The purpose of the project was to investigate the highest reachable accuracy and to examine what sample length that would be appropriate in order to be useful in voice control application. The signal processing part dealt mainly with how enveloping, Mel frequency ceptral coefficients (MFCC) and Mel frequency spectral coefficients (MFSC) could be used to enhance the accuracy of the model. The neural network design focused on how the width and depth of the network and the use of dropouts could be used to increase the performance. The experiments resulted in a model with a maximum accuracy of 92,30 % that could outperform humans for samples of approximately 1,2 seconds of shorter. A suitable sample length to be usable in other applications was concluded to be in the interval of 0,7 to 1,5 seconds.

<p>Betyg 190604</p>

<p>Betyg 190604</p>

<p>Betyg 190604</p>

<p>Betyg 190604</p>

<p>Betyg 190604</p>

<p>Betyg 190604</p>

<p>Betyg 190604</p>

No description available.

Industries aim to have a high performance to get a high profitability. A high performance comes from the employees' work performance every day. This work performance for industry employees comes largely from the motivation they feel for the work. In this study, work motivation for employees in industry has been examined through a questionnaire study together with interviews with selected persons from the management. The conclusion for this study is that employees' work motivation in industry´s is strongly linked to how the management manages and acts within the organization. The management influences the employees' motivation by controlling how the organization is structured, which reward systems are to be used and how the corporate culture is structured. If employees in industry´s experience high motivation for their work, the work performance will increase along with increased work motivation. The result of this study shows how corporate culture together with other motivation factors can motivate employees to increase work performance in the manufacturing industry. This study has also resulted in a self-developed model that can be used by companies to increase work motivation and thereby the work performance of the company.