Search Results for author: Henk van den Heuvel

Found 19 papers, 0 papers with code

A Speech Recognizer for Frisian/Dutch Council Meetings

no code implementations LREC 2022 Martijn Bentum, Louis ten Bosch, Henk van den Heuvel, Simone Wills, Domenique van der Niet, Jelske Dijkstra, Hans Van de Velde

Adapting a speech recognizer for the council meeting domain is challenging because of acoustic background noise, speaker overlap and the jargon typically used in council meetings.

Corpora of Disordered Speech in the Light of the GDPR: Two Use Cases from the DELAD Initiative

no code implementations LREC 2020 Henk van den Heuvel, Aleksei Kelli, Katarzyna Klessa, Satu Salaasti

Corpora of disordered speech (CDS) are costly to collect and difficult to share due to personal data protection and intellectual property (IP) issues.

Crossing the SSH Bridge with Interview Data

no code implementations LREC 2020 Henk van den Heuvel

Spoken audio data, such as interview data, is a scientific instrument used by researchers in various disciplines crossing the boundaries of social sciences and humanities.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Large-Scale Speaker Diarization of Radio Broadcast Archives

no code implementations19 Jun 2019 Emre Yilmaz, Adem Derinel, Zhou Kun, Henk van den Heuvel, Niko Brummer, Haizhou Li, David A. van Leeuwen

This paper describes our initial efforts to build a large-scale speaker diarization (SD) and identification system on a recently digitized radio broadcast archive from the Netherlands which has more than 6500 audio tapes with 3000 hours of Frisian-Dutch speech recorded between 1950-2016.

speaker-diarization Speaker Diarization +1

Semi-supervised acoustic model training for speech with code-switching

no code implementations23 Oct 2018 Emre Yilmaz, Mitchell McLaren, Henk van den Heuvel, David A. van Leeuwen

In this paper, we describe several automatic annotation approaches to enable using of a large amount of raw bilingual broadcast data for acoustic model training in a semi-supervised setting.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech

no code implementations28 Jul 2018 Emre Yilmaz, Henk van den Heuvel, David A. van Leeuwen

In this paper, we describe several techniques for improving the acoustic and language model of an automatic speech recognition (ASR) system operating on code-switching (CS) speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Falling silent, lost for words ... Tracing personal involvement in interviews with Dutch war veterans

no code implementations LREC 2016 Henk van den Heuvel, Nelleke Oostdijk

In sources used in oral history research (such as interviews with eye witnesses), passages where the degree of personal emotional involvement is found to be high can be of particular interest, as these may give insight into how historical events were experienced, and what moral dilemmas and psychological or religious struggles were encountered.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Curation of Dutch Regional Dictionaries

no code implementations LREC 2016 Henk van den Heuvel, S, Eric ers, Nicoline van der Sijs

This paper describes the process of semi-automatically converting dictionaries from paper to structured text (database) and the integration of these into the CLARIN infrastructure in order to make the dictionaries accessible and retrievable for the research community.

The evolving infrastructure for language resources and the role for data scientists

no code implementations LREC 2014 Nelleke Oostdijk, Henk van den Heuvel

In the context of ongoing developments as regards the creation of a sustainable, interoperable language resource infrastructure and spreading ideas of the need for open access, not only of research publications but also of the underlying data, various issues present themselves which require that different stakeholders reconsider their positions.

Collection of a corpus of Dutch SMS

no code implementations LREC 2012 Maaske Treurniet, Orph{\'e}e De Clercq, Henk van den Heuvel, Nelleke Oostdijk

In this paper we focus on the data collection processes involved and after studying the effect of media coverage we show that especially free publicity in newspapers and on social media networks results in more contributions.

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