02707nam a22003017a 4500 CSPC 20240405155617.0 240405s2020 ph a mab 000 0 eng d CSPC CSPC eng UTH BSCS D3794a 2020 De Lima, Aireen B., author. Applying speech recognition for basic windows command using VAD algorithm / Aireen B. De Lima, Vannessa B. Ocera, and Ailen E. Sales. 116 leaves text rdacontent unmediated rdamedia volume rdacarrier Undergraduate Theses (BSCS) - Computer Science. Camarines Sur Polytechnic Colleges, 2020. Includes bibliographical references. Speech Recognition is widely used in various instances like in many applications. environment and people with disability. Some are not aware of the importance about the speech-based on speech recognition for basic windows command to users especially for people with disability that voice could be used to operate windows command. With this. the researchers conducted a study to develop a prototype system to automate the analysis of Applying the Speech Recognition of Basic Windows Commands Using the Voice Activity Detection Algorithm. This study evaluated the performance of the proposed prototype system in terms of speed and accuracy of speech recognition. The study used experimental type of research to evaluate the objectives obtained in the study. In gathering the data, the researchers conducted data analysis and experimentation to achieved the objectives of the study. The data gathered were analyzed and interpreted using Weighted Mean also with the evaluated results for Speed and Accuracy to evaluate the performance of the speech recognition prototype system. Analysis of the data showed that the algorithm, techniques and tools and programming languages that were used to create the prototype system are effective in the speech recognition development of the prototype system. Based on the evaluated result of the prototype system in terms of speed is 0.766 or 76% and terms of accuracy is 0.76 or 76 %. Furthermore, based on the given results in terms of speed and accuracy are high. Therefore, VAD algorithm is proved to be implemented to use in creating a speech recognition prototype. Ocera, Vannesa B., author Sales, Ailen E., author Omorog, Challiz D., adviser Benitez, Ian P., chair, panelist Velasco, Kezia Abegail, panelist Colle, Jonuel Rey, panelist ddc 0 UM D3794a BSCS UTH 2020 0 0 ddc 0 0 CSPC CSPC UTH 2024-04-05 0 UTH BSCS D3794a 2020 006168UM 2024-04-05 00:00:00 2024-04-05 UM 27386 27386