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Wed 24 March
    11.00 - 12.15
    12.30 - 13.45
    14.30 - 15.45
    16.00 - 17.15

Thu 25 March
    11.00 - 12.15
    12.30 - 13.45
    14.30 - 15.45
    16.00 - 17.15

Fri 26 March
    11.00 - 12.15
    12.30 - 13.45
    14.30 - 15.45
    16.00 - 17.15

Sat 27 March
    11.00 - 12.15
    12.30 - 13.45
    14.30 - 15.45
    16.00 - 17.00

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Wednesday 24 March 2021 14.30 - 15.45
R-3 ORA14 Transcribing Oral History Interviews (Semi-)automatically. Technological Promises in Practical Testing
R
Network: Oral History Chair: Linde Apel
Organizer: Almut Leh Discussants: -
Moderators: -
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.

Herdis Kley : Preparing Transcripts in a Digital Research Environment for Interview Collections
The project Oral-History.Digital designs and implements an infrastructure for scientific collections of audio-visually recorded narrative interviews, providing a working environment with tools for transcription, alignment and indexing. Automatic alignment tools such as WebMAUS can be integrated to reduce the amount of time usually needed to link audio and text manually. ... (Show more)
The project Oral-History.Digital designs and implements an infrastructure for scientific collections of audio-visually recorded narrative interviews, providing a working environment with tools for transcription, alignment and indexing. Automatic alignment tools such as WebMAUS can be integrated to reduce the amount of time usually needed to link audio and text manually. Yet a profound preparation of the text file is still necessary to get better results (Show less)

Peter Kompiel : Iron Curtain - Using (Semi-)automatic Transcription Tools For Creating a Digital Interview Archive
For the creation of new interview collections at Freie Universität Berlin, the process of time-coded transcription should be as efficient and streamlined as possible. The project "Iron Curtain. Fatally failed escapes and the miscarriage of justice against prospective emigrants and refugees" uses an elaborate workflow reaching from speech recognition to ... (Show more)
For the creation of new interview collections at Freie Universität Berlin, the process of time-coded transcription should be as efficient and streamlined as possible. The project "Iron Curtain. Fatally failed escapes and the miscarriage of justice against prospective emigrants and refugees" uses an elaborate workflow reaching from speech recognition to the integration of a finished transcript in an archive software which can also serve as a model for other interview projects (Show less)

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)



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