On-device implementation of an automatic Filipino speech recognition system
This paper describes the preliminary results in an effort to develop a speaker-independent Filipino Speech-to-Text (STT) application on a smartphone. The system is composed of a front-end Symbian C++ application that was built to run on Symbian OS S60 3rd Edition smartphones. The application covers...
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| Main Authors: | , |
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| Format: | text |
| Published: |
Animo Repository
2008
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/12343 |
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| Institution: | De La Salle University |
| Summary: | This paper describes the preliminary results in an effort to develop a speaker-independent Filipino Speech-to-Text (STT) application on a smartphone. The system is composed of a front-end Symbian C++ application that was built to run on Symbian OS S60 3rd Edition smartphones. The application covers significant portions of a standard speech recognition system, namely, capture of speech input, feature extraction using PLP-RASTA directly converted to cepstral values, and posterior probabilities estimation using a multi-layer perceptron. Acoustic and language models were produced using different LM tools. To obtain the accuracy of the system, it was tested with a Linux-based decoder (OWAY) from SPRACHcore, a full source code release of speech recognition tools from ICSI, which was ported to run on a Windows-based desktop computer. Tests were done in a moderately noisy environment. System performance had average recognition rates of 53.94% and 6.15% for word-and sentence-level recognition, respectively. |
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