Search Results for author: Barbara Schuppler

Found 5 papers, 0 papers with code

Conversational Speech Recognition Needs Data? Experiments with Austrian German

no code implementations LREC 2022 Julian Linke, Philip N. Garner, Gernot Kubin, Barbara Schuppler

Conversational speech represents one of the most complex of automatic speech recognition (ASR) tasks owing to the high inter-speaker variation in both pronunciation and conversational dynamics.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

To laugh or not to laugh? The use of laughter to mark discourse structure

no code implementations SIGDIAL (ACL) 2022 Bogdan Ludusan, Barbara Schuppler

A number of cues, both linguistic and non-linguistic, have been found to mark discourse structure in conversation.

Using Kaldi for Automatic Speech Recognition of Conversational Austrian German

no code implementations16 Jan 2023 Julian Linke, Saskia Wepner, Gernot Kubin, Barbara Schuppler

In order to deal with having only limited resources available for conversational German and, at the same time, with a large variation among speakers with respect to pronunciation characteristics, we improve a Kaldi-based ASR system by incorporating a (large) knowledge-based pronunciation lexicon, while exploring different data-based methods to restrict the number of pronunciation variants for each lexical entry.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

GRASS: the Graz corpus of Read And Spontaneous Speech

no code implementations LREC 2014 Barbara Schuppler, Martin Hagmueller, Juan A. Morales-Cordovilla, Hannes Pessentheiner

This paper provides a description of the preparation, the speakers, the recordings, and the creation of the orthographic transcriptions of the first large scale speech database for Austrian German.

Speech Recognition

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