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| 003 | CSPC | ||
| 005 | 20240405155617.0 | ||
| 008 | 240405s2020 ph a mab 000 0 eng d | ||
| 040 |
_cCSPC _aCSPC _beng |
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| 090 | _aUTH BSCS D3794a 2020 | ||
| 100 | 1 |
_aDe Lima, Aireen B., _eauthor. |
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| 245 | 1 | 0 |
_aApplying speech recognition for basic windows command using VAD algorithm / _cAireen B. De Lima, Vannessa B. Ocera, and Ailen E. Sales. |
| 300 | _a116 leaves | ||
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_atext _2rdacontent |
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_aunmediated _2rdamedia |
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_avolume _2rdacarrier |
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_aUndergraduate Theses (BSCS) - Computer Science. _cCamarines Sur Polytechnic Colleges, 2020. |
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| 504 | _aIncludes bibliographical references. | ||
| 520 | 3 | _aSpeech 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. | |
| 700 | 1 |
_aOcera, Vannesa B., _eauthor |
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| 700 | 1 |
_aSales, Ailen E., _eauthor |
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| 720 | 1 |
_aOmorog, Challiz D., _eadviser |
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| 720 | 1 |
_aBenitez, Ian P., _echair, panelist |
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| 720 | 1 |
_aVelasco, Kezia Abegail, _epanelist |
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| 720 | 1 |
_aColle, Jonuel Rey, _epanelist |
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_2ddc _n0 _cUM _hD3794a _iBSCS _kUTH _m2020 |
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_c27386 _d27386 |
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