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Arabic Software Desktop Publishing Translation OCR ASR TTS MultimediA |
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Arabic Software Desktop Publishing Translation OCR ASR TTS MultimediA |
ASR | Categorization
| Correction | Diacritization | DMS/ArabDox | Ibsar Reading Machine | IDRISI Search
Johaina | Keyword Extraction | KMS | MMMP | MT | NLP |
OCR |
Services
| SET | Speech
| Summarization
| TTS
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| Sakhr Software, the pioneering
Arabic IT Company and supplier of speech recognition and text to speech technologies and
business solutions, announced the availability of its engine Sakhr's ASR 4.0 software
package. The version 4.0 of the ASR is the successor of Sakhr's ASR 3.0, containing new
functionalities to ease application development and integration, increase accuracy and
improve application usability. The ASR engine enables IVR systems to understand people's
natural Arabic speech through spoken words in different Arabic accents. Developed for
telephony speech applications, the recognition engine provides speech recognition and
understanding for human-like telephony services. With ASR 4.0, developers can create robust and easy-to-use application interfaces designed to increase customer self-service, shorten transaction completion time and boost customer satisfaction levels. The ASR is designed to enable highly accurate, scalable, and easy to deploy voice solutions ranging from directory assistance, banking solutions, auto-attendant systems, product ordering, solutions for visually impaired and customer care to industry specific applications including airline reservations, brokerage, and many more. Sakhr's ASR software is a speaker-independent, open, standards-based recognition engine optimized for scalability, accuracy, and performance particularly for wireless environments and hands-free operation. The engine delivers unparalleled accuracy, often exceeding 95% in both wireless and landline deployments and exceptionally in noisy environments. It allows natural human-like dialogues through its robust grammar based barge-in feature. The latest ASR engine release builds on the advanced capabilities of the version 3.0 to provide memory and CPU savings and support for application vocabularies containing millions of entries. "This version of the ASR is packaged with latest features required by the market and the highest accuracy ever achieved", said Jihad Salman, product manager for speech technologies at Sakhr. "Sakhr's ASR 4.0 allows the developers to easily speech-enable their telephony applications for the Arabic market and with its high accuracy enhances the quality of service while increasing the customers' satisfaction". The engine 4.0 comes with a completely revised toolkit, which comprises a complete set of new tools and enhanced support of the entire application development process via a consistent and ergonomic workflow scheme. The new toolkit provides more graphical user interface (GUI) tools for application design, as well as for application tuning and evaluation. It incorporates tools for easily training with open grammars and for creating and transcribing speech corpora. |
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The TeleMedia 900 Audiotel Case The Situation Based on Interactive Voice Response (IVR) systems used in Computer Telephony (CT), TeleMedia provides 900 numbers with special tariffs in cooperation with Egypt Telecom. Users have to follow recorded instructions and reply by pressing number keypads to select an answer or respond to instructions. Recording message isn't practical and costs a lot with dynamic data and the use of DTMF instead of natural speech is tedious for the speakers in large menus. The Challenge The challenge was to deliver Arabic speech engines compatible with TeleMedia infrastructure, and able to automate the tedious and costly process of recording different prompts for various applications. Moreover the need to start a new human recording if the data is changed limits the scope of the application that the original system can handle. For example it won't be able to provide dynamic listings of names or broadcasting of the latest news from the web. On the other side, handling the caller requests in natural speech instead of DTMF is really challenging due to the variability of possible utterance that people can say in different ways even if the choices were limited. Moreover the probability of providing different speech than the expected and noise interference may limit the accuracy of any speech recognition system. Finally this automation by Sakhr technologies should manage with the huge number of calls that TeleMedia receives specially in the peak hours of TV when publicity campaigns encourage people to call for a contest or service. The design should be flexible enough to toggle between different applications based on the online load and therefore route the service accordingly. The Solution We proposed a complete solution that solves all customers concerns and fulfill all the requirements including:
The Results Please contact George N. Hallak |
ASR | Categorization
| Correction | Diacritization | DMS/ArabDox | Ibsar Reading Machine | IDRISI Search
Johaina | Keyword Extraction | KMS | MMMP | MT | NLP |
OCR |
Services
| SET | Speech
| Summarization
| TTS
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AramediA |
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