Novel Techniques for Dialectal Arabic Speech Recognition
Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic speech recognition for dialectal Arabic. Since speech resources for dialectal Arabic speech recognition are very sparse, the authors describe how existing Modern Standard Arabic (MSA) speech data can be applied to...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Boston, MA :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 2012. |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Novel Techniques for Dialectal Arabic Speech Recognition, Texte imprimé, 9781461419051 |
| LEADER | 03322nam a22003497a 4500 | ||
|---|---|---|---|
| 001 | 974024 | ||
| 008 | 120309q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN159082188 | ||
| 020 | |a 9781461419068 | ||
| 020 | |a 9781461419068 | ||
| 041 | 0 | |a eng | |
| 082 | |a 621.382 | ||
| 100 | 1 | |a Elmahdy, Mohamed. | |
| 245 | 1 | 0 | |a Novel Techniques for Dialectal Arabic Speech Recognition |c by Mohamed Elmahdy, Rainer Gruhn, Wolfgang Minker. |
| 250 | |a 2012. | ||
| 260 | |a Boston, MA : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Fundamentals Speech Corpora Phonemic Acoustic Modeling Graphemic Acoustic Modeling Phonetic Transcription Using the Arabic Chat Alphabet | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic speech recognition for dialectal Arabic. Since speech resources for dialectal Arabic speech recognition are very sparse, the authors describe how existing Modern Standard Arabic (MSA) speech data can be applied to dialectal Arabic speech recognition, while assuming that MSA is always a second language for all Arabic speakers. In this book, Egyptian Colloquial Arabic (ECA) has been chosen as a typical Arabic dialect. ECA is the first ranked Arabic dialect in terms of number of speakers, and a high quality ECA speech corpus with accurate phonetic transcription has been collected. MSA acoustic models were trained using news broadcast speech. In order to cross-lingually use MSA in dialectal Arabic speech recognition, the authors have normalized the phoneme sets for MSA and ECA. After this normalization, they have applied state-of-the-art acoustic model adaptation techniques like Maximum Likelihood Linear Regression (MLLR) and Maximum A-Posteriori (MAP) to adapt existing phonemic MSA acoustic models with a small amount of dialectal ECA speech data. Speech recognition results indicate a significant increase in recognition accuracy compared to a baseline model trained with only ECA data | ||
| 700 | 1 | |a Gruhn, Rainer E., |d 19..- |4 aut | |
| 700 | 1 | |a Minker, Wolfgang, |d 1967- |4 aut | |
| 776 | 0 | |t Novel Techniques for Dialectal Arabic Speech Recognition |b Texte imprimé |z 9781461419051 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-4614-1906-8 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-19JVQ927-R |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750605103 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4614-1906-8 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:753965097 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4614-1906-8 |z Accès INSA CVL | |
| 997 | |0 974024 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||