Audio Search Based on Keyword Spotting in Arabic Language
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 2
Abstract
Keyword spotting is an important application of speech recognition. This research introduces a keyword spotting approach to perform audio searching of uttered words in Arabic speech. The matching process depends on the utterance nucleus which is insensitive to its context. For spotting the targeted utterances, the matched nuclei are expanded to cover the whole utterances. Applying this approach to Quran and standard Arabic has promising results. To improve this spotting approach, it is combined with a text search in case of the existence of a transcript. This can be applied on Quran as there is exact correspondence between the audio and text files of each verse. The developed approach starts by text search to identify the verses that include the target utterance(s). For each allocated verse, the occurrence(s) of the target utterance is determined. The targeted utterance (the reference) is manually segmented from an allocated verse. Then Keyword spotting is performed for the extracted reference to the corresponding audio file. The accuracy of the spotted utterances achieved 97%. The experiments showed that the use of the combined text and audio search has reduced the search time by 90% when compared with audio search only tested on the same content. The developed approach has been applied to non transcribed audio files (preaches and News) for searching chosen utterances. The results are promising. The accuracy of spotting was around 84% in case of preaches and 88% in case of the news.
Authors and Affiliations
Mostafa Awaid, Sahar Fawzi, Ahmed Kandil
Keywords
Related Articles
- EP ID EP141854
- DOI 10.14569/IJACSA.2014.050219
- Views 126
- Downloads 0
Detection of Mass Panic using Internet of Things and Machine Learning
The increase of emergency situations that cause mass panic in mass gatherings, such as terrorist attacks, random shooting, stampede, and fires, sheds light on the fact that advancements in technology should contribute in...
Efficient Smart Emergency Response System for Fire Hazards using IoT
The Internet of Things pertains to connecting currently unconnected things and people. It is the new era in transforming the existed systems to amend the cost effective quality of services for the society. To support Sma...
An autonomous intelligent gateway for wireless sensor network based on mobile node
One of the recent tendencies for Wireless Sensor Networks (WSNs) that significantly increases their performance and functionality is the utilization of mobile nodes. This paper describes the software architecture of an i...
An Augmented Reality Approach to Integrate Practical Activities in E-Learning Systems
In the past, the term E-learning was mentioned to any learning method that used electronic machine for the distribution. With the evolution and the apparition of the internet, the term e learning has been evolved and ref...
Lightweight Internet Traffic Classification based on Packet Level Hidden Markov Models
During the last decade, Internet traffic classification finds its importance not only to safeguard the integrity and security of network resources, but also to ensure the quality of service for business critical applicat...