Refine
Year of publication
- 2012 (2) (remove)
Document Type
- Book (2) (remove)
Language
- English (2)
Has Fulltext
- no (2)
Is part of the Bibliography
- no (2)
Keywords
- Database (1)
- Microsoft (1)
- Speech Recognition (1)
- Sql server (1)
Institute
Get Started on Microsoft SQL Server 2012 in No TimeLearn to use all of the powerful features available in SQL Server 2012 quickly and easily.
Microsoft SQL Server 2012: A Beginner's Guide explains the fundamentals of each topic alongside examples and tutorials that walk you through real-world database tasks.
Install SQL Server 2012, construct high-performance databases, use powerful Transact-SQL statements, create stored procedures and triggers, and execute simple and complex database queries.
Performance tuning, Database Engine security, Business Intelligence, and XML are also covered.
Set up, configure, and maintain SQL Server 20012 Build and manage database objects using Transact-SQL statements Create stored procedures and user-defined functionsOptimize database performance, availability, and reliabilityImplement solid security using authentication, encryption, and authorization
Automate tasks using SQL Server AgentCreate reliable data backups and perform flawless system restoresUse all-new SQL Server 2012 Business Intelligence, development, and administration toolsLearn in detail the SQL Server XML technology (SQLXML)
Folks that have been here last winter prior to ASRU might be familiar with the title of that talk. But don't be misled, I'll have something new for you. In this talk, I will give an overview over the FAU Lecture Browser which I developed in the context of my thesis. I will start out with the description of a novel data set: The LME Lectures are a corpus of two series of graduate level computer science lectures with 18 recordings each. The courses cover topics in medical image processing and pattern analysis/machine learning. The roughly 40 hours of speech were manually transcribed, and one particular lecture was annotated with key phrases by five human raters. Using this data set, I trained three different speech recognizers using regular continuous, multi-codebook semi-continuous and subspace Gaussian mixture models, that show an error rate of about 10% WER. I will then briefly describe the key phrase extraction and automatic ranking, which was then compared against five raters on one lecture recording. Finally, I will talk about a little usability study where 10 students were asked to perform a certain task-- with and without the proposed lecture browser. Although the number of contestants is limited, the numbers are interesting: the users that had the interface could complete the tasks about 30% faster than the control group, while maintaining about the same accuracy.