TY - CHAP A1 - Steidl, Stefan A1 - Riedhammer, Korbinian A1 - Bocklet, Tobias A1 - Hönig, Florian A1 - Nöth, Elmar T1 - Java Visual Speech Components for Rapid Application Development of GUI based Speech Processing Applications T2 - INTERSPEECH 2011, 12th Annual Conference of the International Speech Communication Association, Florence, Italy, August 2011. N2 - In this paper, we describe a new Java framework for an easy and efficient way of developing new GUI based speech processing applications. Standard components are provided to display the speech signal, the power plot, and the spectrogram. Furthermore, a component to create a new transcription and to display and manipulate an existing transcription is provided, as well as a component to display and manually correct external pitch values. These Swing components can be easily embedded into own Java programs. They can be synchronized to display the same region of the speech file. The object-oriented design provides base classes for rapid development of own components. KW - Speech Processing Applications KW - Java KW - Graphical User Interfaces (GUI) KW - Rapid Application Development (RAD) Y1 - 2011 SP - 3257 EP - 3260 ER - TY - CHAP A1 - Spiegl, Werner A1 - Riedhammer, Korbinian A1 - Steidl, Stefan A1 - Nöth, Elmar T1 - FAU IISAH Corpus – A German Speech Database Consisting of Human-Machine and Human-Human Interaction Acquired by Close-Talking and Far-Distance Microphones T2 - 7th Conference on International Language Resources and Evaluation (LREC 2010), European Language Resources Association (ELRA), Valletta, Malta, May 2010. KW - Speech Recognition Y1 - 2018 SP - 2420 EP - 2423 ER - TY - CHAP A1 - Riedhammer, Korbinian A1 - Gropp, Martin A1 - Bocklet, Tobias A1 - Hönig, Florian A1 - Nöth, Elmar A1 - Steidl, Stefan T1 - LMELectures: A Multimedia Corpus of Academic Spoken English T2 - First Workshop on Speech, Language and Audio in Multimedia (SLAM 2013), Marseille, France, August 2013, ISCA Archive. N2 - This paper describes the acquisition, transcription and annotation of a multi-media corpus of academic spoken English, the LMELectures. It consists of two lecture se-ries that were read in the summer term 2009 at the com-puter science department of the University of Erlangen-Nuremberg, covering topics in pattern analysis, machine learning and interventional medical image processing. In total, about 40 hours of high-definition audio and video of a single speaker was acquired in a constant recording en-vironment. In addition to the recordings, the presentation slides are available in machine readable (PDF) format. The manual annotations include a suggested segmenta-tion into speech turns and a complete manual transcrip-tion that was done using BLITZSCRIBE2, a new tool for the rapid transcription. For one lecture series, the lecturer assigned key words to each recordings; one recording of that series was further annotated with a list of ranked key phrases by five human annotators each. The corpus is available for non-commercial purpose upon request. KW - corpus description KW - academic spoken English KW - e-learning Y1 - 2013 SP - 102 EP - 107 ER -