TITLE

SWAHILI TEXT AND SPEECH CORPUS: A REVIEW

AUTHOR(S)
Oirere, Aaron M.; Deshmukh, Ratnadeep R.; Shrishrimal, Pukhraj P.; Waghmare, Vishal B.
PUB. DATE
November 2012
SOURCE
Asian Journal of Computer Science & Information Technology;Nov2012, Vol. 2 Issue 11, p286
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper explores the review of Swahili text and speech databases/corpus in different dimensions i.e. word, sentence and phrases selections with their phonetics and selection of speakers. It also reviles the availability of the corpus. Text and Speech database is needed for various purposes like speech synthesis, speech recognition, speech detection; corpus based text-to-speech (TTS) synthesis and machine translation. This work is done for the purpose of developing a speech corpus in Swahili language.
ACCESSION #
88033079

 

Related Articles

  • Optimizing Automatic Speech Recognition for Low-Proficient Non-Native Speakers. van Doremalen, Joost; Cucchiarini, Catia; Strik, Helmer // EURASIP Journal on Audio Speech & Music Processing;2010, Vol. 2010, p1 

    Computer-Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with non-native speech that is particularly challenging. Since unconstrained non-native ASR is still problematic, a possible solution is to elicit constrained responses...

  • Exploring the Effect of Differences in the Acoustic Correlates of Adults' and Children's Speech in the Context of Automatic Speech Recognition. Ghai, Shweta; Sinha, Rohit // EURASIP Journal on Audio Speech & Music Processing;2010, Vol. 2010, p1 

    This work explores the effect of mismatches between adults' and children's speech due to differences in various acoustic correlates on the automatic speech recognition performance under mismatched conditions. The different correlates studied in this work include the pitch, the speaking rate, the...

  • Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer. Maier, Andreas; Haderlein, Tino; Stelzle, Florian; Nöth, Elmar; Nkenke, Emeka; Rosanowski, Frank; Schützenberger, Anne; Schuster, Maria // EURASIP Journal on Audio Speech & Music Processing;2010, Vol. 2010, p1 

    In patients suffering from head and neck cancer, speech intelligibility is often restricted. For assessment and outcome measurements, automatic speech recognition systems have previously been shown to be appropriate for objective and quick evaluation of intelligibility. In this study we...

  • DEVELOPMENT OF ISOLATED WORDS SPEECH DATABASE OF MARATHI WORDS FOR AGRICULTURE PURPOSE. Shrishrimal, P. P.; Deshmukh, R. R.; Waghmare, Vishal B. // Asian Journal of Computer Science & Information Technology;Jul2012, Vol. 2 Issue 7, p217 

    Development of Speech Database is the very first step for developing an Automatic Speech Recognition system. The Accuracy of speech recognition depends on the quality of the speech data collected and the training set data quality. This paper describes the proposed procedure to be followed for...

  • Boring Is OK, but Exciting Is Better. Yudkowsky, Moshe // Speech Technology Magazine;Apr2007, Vol. 12 Issue 3, p42 

    The author gives his views on what the next phase, level or stage of speech recognition will bring. Primarily, he feels that customers should have some ownership over a application and let them share that ownership with each other. The author's paradigm is wikipedia which has become the world's...

  • Arabic speech recognition using SPHINX engine. Hyassat, Hussein; Abu Zitar, Raed // International Journal of Speech Technology;Sep2007, Vol. 9 Issue 3/4, p133 

    Although the Arab world has an estimated number of 250 million Arabic speakers, there has been little research on Arabic speech recognition when compared to other languages of similar importance (e.g. Mandarin). Due to the lack of diacritic Arabic text and the lack of Pronunciation Dictionary...

  • SPEECH RECOGNITION.  // Fortune;Summer99 Special issue, Vol. 139 Issue 10, p183 

    The article evaluates several speech recognition software including Conversational Computing Conversa Web 3.0, Philips FreeSpeech 2000 with SpeechMike, and Syracuse Language Smart Start.

  • Balso serverių taikymo lietuvių kalbai tyrimas. Rudžionis, A.; Maskeliūnas, R.; Ratkevičius, K.; Rudžionis, V. // Electronics & Electrical Engineering;2007, Issue 78, p43 

    The article presents an investigation of voice servers application for Lithuanian language. WebSphere Voice Server of the International Business Machine Corp. is a software middleware product that provides breakthrough technology for quickly developing and deploying conversational solutions....

  • Nexidia talks up its audio search system. Jaques, Robert // Information World Review;Jan2005, Issue 209, p4 

    Reports on the NEXminer Enterprise audio search system launched by Nexidia as of January 2005. Capabilities of the product; Difference of the Nexidia product from vocabulary conversational speech recognition systems; Overview of the search process.

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics