![Speech recognition using articulatory and excitation source features [electronic resource]](https://image.aladin.co.kr/product/9421/84/cover/3319492195_2.jpg)
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| 005 | 20190829091406 | |
| 006 | m d | |
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| 008 | 190820s2017 sz a ob 000 0 eng d | |
| 020 | ▼a 9783319492193 | |
| 020 | ▼a 9783319492209 (e-book) | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a TK7895.S65 |
| 082 | 0 4 | ▼a 006.454 ▼2 23 |
| 084 | ▼a 006.454 ▼2 DDCK | |
| 090 | ▼a 006.454 | |
| 100 | 1 | ▼a Rao, K. Sreenivasa. |
| 245 | 1 0 | ▼a Speech recognition using articulatory and excitation source features ▼h [electronic resource] / ▼c K. Sreenivasa Rao, Manjunath K.E. |
| 260 | ▼a Cham : ▼b Springer, ▼c c2017. | |
| 300 | ▼a 1 online resource (xi, 92 p.) : ▼b ill. (some col.). | |
| 490 | 1 | ▼a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, ▼x 2191-737X, ▼x 2191-7388 (electronic) |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references. | |
| 505 | 0 | ▼a Introduction -- Literature Review -- Articulatory Features for Phone Recognition -- Excitation Source Features for Phone Recognition -- Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes -- Conclusion -- Appendix A: MFCC Features -- Appendix B: Pattern Recognition Models. |
| 520 | ▼a This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Automatic speech recognition. |
| 700 | 1 | ▼a K. E., Manjunath. |
| 830 | 0 | ▼a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-319-49220-9 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 006.454 | 등록번호 E14017522 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book discusses the contribution of articulatory and excitation source information in discriminating sound units. The authors focus on excitation source component of speech -- and the dynamics of various articulators during speech production -- for enhancement of speech recognition (SR) performance. Speech recognition is analyzed for read, extempore, and conversation modes of speech. Five groups of articulatory features (AFs) are explored for speech recognition, in addition to conventional spectral features. Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features. The authors close by discussing various combinations of spectral, articulatory and source features, and the desired models to enhance the performance of SR systems.
정보제공 :
목차
Introduction.- Literature Review.- Articulatory Features for Phone Recognition.- Excitation Source Features for Phone Recognition.- Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes.- Conclusion.- Appendix A: MFCC Features.- Appendix B: Pattern Recognition Models.
정보제공 :