On the use of multi-lingual approach for a cloud-based transcription system for the ‘Ilonggoish’ dialect
dc.contributor.author | Alibagon, Rowena | |
dc.contributor.author | Elijorde, Frank | |
dc.contributor.author | De Castro, Joel | |
dc.contributor.author | Byun, Yung-Cheol | |
dc.date.accessioned | 2024-05-11T07:34:11Z | |
dc.date.available | 2024-05-11T07:34:11Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Alibagon R., Elijorde F., De Castro J., Byun Y. (2018). On the use of multi-lingual approach for a cloud-based transcription system for the ‘Ilonggoish’ dialect. International Journal of Grid and Distributed Computing, 11(3), 139-154. https://doi.org/ 10.14257/ijgdc.2018.11.3.12 | en |
dc.identifier.issn | 20054262 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14353/437 | |
dc.description.abstract | The study is aimed at the development of a Transcription System for ‘Ilonggoish’ Dialect, which is a widely-spoken local language in the Philippines. It is a software that records speech in .wav file format, transcribes speech into text, and generates text file containing the transcribed text. The system has a built in speech recognition that has the capability to recognize pre-recorded speeches spoken in different languages such as English, Filipino, Hiligaynon, and Ilonggoish dialect. Integrated into the system are the recording tool for the input speech data, data storing capability in . wav format, and text storing capability in .txt format. This study presents an approach to extract features of the spoken words by using the Mel Frequency Cepstral Coefficients (MFCC) algorithm from speech signals of isolated spoken words, and Hidden Markov Model (HMM) method in presenting the recognized spoken words in text format. The system uses the Google Cloud’s database of words as the baseline for standard words. It was evaluated by linguists specializing in Filipino, English, and Hiligaynon languages, and IT experts in different fields such as the academe and industry. | en |
dc.language.iso | en | en |
dc.publisher | Science and Engineering Research Support Society | en |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.subject | Hidden markov mode | en |
dc.subject | Mel frequency cepstral coefficients | en |
dc.subject | Multi-lingual approach | en |
dc.subject | cloud-based transcription system | en |
dc.subject | Ilonggo dialect | en |
dc.subject | Ilonggoish dialect | en |
dc.subject | Transcription system | en |
dc.subject | Local language | en |
dc.subject | Speech recognition | en |
dc.subject | Hiligaynon | en |
dc.subject | Recording tool | en |
dc.subject | Google Cloud | en |
dc.subject | Digital signal processing | en |
dc.subject | Transcription services | en |
dc.subject | Human annotations | en |
dc.subject.lcsh | Transcription | en |
dc.subject.lcsh | Logic | en |
dc.subject.lcsh | Computer-aided transcription systems | en |
dc.subject.lcsh | Automatic speech recognition--Computer programs | en |
dc.subject.lcsh | Automatic speech recognition | en |
dc.subject.lcsh | Hiligaynon language | en |
dc.subject.lcsh | Speech processing systems | en |
dc.subject.lcsh | Signal processing--Digital techniques | en |
dc.subject.lcsh | Transcribing services | en |
dc.title | On the use of multi-lingual approach for a cloud-based transcription system for the ‘Ilonggoish’ dialect | en |
dc.type | Article | en |
dcterms.accessRights | Open access | en |
dc.citation.journaltitle | International Journal of Grid and Distributed Computing | en |
dc.citation.volume | 11 | en |
dc.citation.issue | 3 | en |
dc.citation.firstpage | 139 | en |
dc.citation.lastpage | 154 | en |
dc.identifier.doi | 10.14257/ijgdc.2018.11.3.12 | |
local.isIndexedBy | Scopus | en |
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