Robust speech recognition of uncertain or missing data : theory and applications
Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but...
সংরক্ষণ করুন:
| অন্যান্য লেখক: | , |
|---|---|
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| সংস্করন: | 1st ed. 2011. |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Robust speech recognition of uncertain or missing data, theory and applications, Dorothea Kolossa, Reinhold Haeb-Umbach, New York, Springer, 2011, 1 vol. (XVIII-380 p.), 978-3-642-21316-8 |
সূচিপত্রের সারণি:
- Chap. 1 Introduction Part I Theoretical Foundations Chap. 2 Uncertainty Decoding and Conditional Bayesian Estimation Chap. 3 Uncertainty Propagation Part II Applications Chap. 4 Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition Chap. 5 Model-Based Approaches to Handling Uncertainty Chap. 6 Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition Chap. 7 Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data Chap. 8 Conditional Bayesian Estimation Employing a Phase-Sensitive Estimation Model for Noise-Robust Speech Recognition.- Part III Reverberation Robustness Chap. 9 Variance Compensation for Recognition of Reverberant Speech with Dereverberation Processing Chap. 10 A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition Part IV Applications: Multiple Speakers and Modalities Chap. 11 Evidence Modelling for Missing Data Speech Recognition Using Small Microphone Arrays Chap. 12 Recognition of Multiple Speech Sources Using ICA.- Chap. 13 Use of Missing and Unreliable Data for Audiovisual Speech Recognition.- Index