Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xufang Zhao O'Shaughnessy, D. |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. Nat. de la Rech. Sci., Univ. of Quebec, Sainte Foy, QC (Xufang Zhao; O'Shaughnessy, D.) |
| Abstract | This paper proposes a new approach for automatic syllable segmentation of Mandarin spontaneous speech. Automatic speech segmentation is important for continuous speech recognition because it reduces the search space effectively in automatic speech recognition. Moreover, the signal segmentation technique is useful in automatic speech marks and labels. However, for automatic speech recognition (ASR), it is difficult to segment the speech input reliably into useful sub-units because (1) syllable units can often be located roughly via intensity changes, but exact boundary positions are elusive in successive vowels, (2) energy changes in speech spectrum or amplitude help to estimate unit boundaries, but these cues are often unreliable due to co-articulation, and (3) finding boundaries for units bigger than phonemes combines the difficulties of detecting phoneme edges and of deciding which phonemes group to form the bigger units. In this paper, we present a hybrid segmentation method that utilizes silence detection, convex hull energy analysis, and spectral variation analysis. Furthermore, Hamming short-time sliding-windows were applied twice on audio signals to get more obvious convex hull valleys. Mandarin speech segmentation was used as a testing case, and the effectiveness of the proposed segmentation system was confirmed by the experimental results. |
| Starting Page | 000145 |
| Ending Page | 000148 |
| File Size | 343216 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424416424 |
| ISSN | 08407789 |
| DOI | 10.1109/CCECE.2008.4564512 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-04 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal detection Hidden Markov models Automatic speech recognition System testing Natural languages Signal processing Acoustic testing Speech processing Automatic testing Speech recognition Acoustic signal analysis Acoustic signal processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|