Preliminary Programme

Wed 24 March
    08.30 - 10.30
    11.00 - 13.00
    14.00 - 16.00
    16.30 - 18.30

Thu 25 March
    08.30 - 10.30
    11.00 - 13.00
    14.00 - 16.00
    16.30 - 18.30

Fri 26 March
    08.30 - 10.30
    11.00 - 13.00
    14.00 - 16.00
    16.30 - 18.30

Sat 27 March
    08.30 - 10.30
    11.00 - 13.00
    14.00 - 16.00
    16.00 - 17.00

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Wednesday 24 March 2021 14.00 - 16.00
R-3 ORA14 Transcribing Oral History Interviews (Semi-)automatically. Technological Promises in Practical Testing
Lipsius, 307
Network: Oral History Chair: Linde Apel
Organizer: Almut Leh Discussants: -
Christoph Draxler : Web-based Tools for Transcribing and Segmenting Speech
The Bavarian Archive for Speech Signals (BAS) provides a number of web-based speech processing services such as online editors, multilingual automatic seg-mentation, anonymisation and subtitling. In my current research, I am looking at the potential benefits of ASR for transcription, and on determining on how to pre-dict ASR quality automatically.

Almut Leh : Audiomining – Advanced Speech Technologies for Transcribing, Indexing and Analysing Oral History Interviews
Audiomining is a tool for analysing spoken speech with direct access to the audio signal. In addition to the conversion into text, timecodes are set with word accu-racy. This allowed the synchronous representation of audio/video and transcript in the form of subtitles. In the interpretation of oral history interviews, this ... (Show more)
Audiomining is a tool for analysing spoken speech with direct access to the audio signal. In addition to the conversion into text, timecodes are set with word accu-racy. This allowed the synchronous representation of audio/video and transcript in the form of subtitles. In the interpretation of oral history interviews, this can direct the focus from the text to the original source, the spoken word. (Show less)

Thorsten Pehl : Establishing a Workflow for the Use of Speech Recognition
The productive use of speech recognition requires not only precise algorithms, but also concepts for data protection and rapid correction of transcripts. For this purpose, the results of the research on the relationship between error rate and correction duration as well as a procedural concept for the implementation of data ... (Show more)
The productive use of speech recognition requires not only precise algorithms, but also concepts for data protection and rapid correction of transcripts. For this purpose, the results of the research on the relationship between error rate and correction duration as well as a procedural concept for the implementation of data transfer under data protection law are presented. (Show less)



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