dc.description.abstract |
Speech-based computer command and control uses natural speech to make a computer listen
to what humans say in their language and perform tasks like commands. However, there is no
any Speech-based command and control system studied and developed for Microsoft Word in
Afan Oromo. The main objective of this study is to investigate and develop Afan Oromo
Speech-Based Command and Control system using some selected Command and Control
words from MS Word.
In order to achieve this objective; a Small vocabulary, isolated word, Speaker independent, and
HMM-based speech recognizer was developed using the HTK toolkit. To develop this
Automatic speech-based computer command first the translation of selected MS command
words from English to Afan Oromo command words is done. The audio was recorded from
38 speakers (16 female and 22 male) aged between 18 and 40, based on their availability.
Word-level speech recognition is performed using MFCC and data processing, which are the
most generic and effective approaches to speech recognition. Out of a total of 64 MS, command
words, 54 words (84.37%) were used for training and 10 words (15.63%) were used for testing.
Live and non-live evaluation techniques were used to evaluate the recognizer's performance.
Since neighbors' phones affect non-live recognizer, live with variable environment speech
recognizer performs better than non-live recognizer. The performance of the mono-phone tied
state tri-phone and tri-phone-based recognizer was 78.12%, 86.87%, and 88.99% respectively.
Thus, the tri-phone-based recognizer has the best performance than others in non-live
recognizers.
The challenges of resource limitations in this research study are restricted to investigating
speech-based commands for computers with only selected MS commands, which are very
significant keys for text processing. To evaluate a speech-based interface in the real
environment there are no components of object-as-a-service. The experimental findings of this
study demonstrated that, if the required size of language resources is available the computer based Afan Oromo speech-based interface for the command-and-control purpose could be
developed. |
en_US |
dc.subject |
Automatic Speech Recognition, Speaker independent, Isolated Word speech recognizer, HMM Model, Small Vocabulary Speech Recognition, Speech-based interface, Command and control system, HTK |
en_US |