The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech
International audience Currently available speech recognisers do not usually work well with elderly speech. This is because several characteristics of speech (e.g. fundamental frequency, jitter, shimmer and harmonic noise ratio) change with age and because the acoustic models used by speech recognis...
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ftunivtroyes:oai:HAL:hal-02896576v1 2024-05-19T07:42:50+00:00 The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech Hämäläinen, Annika Avelar, Jairo Rodrigues, Silvia Sales Dias, Miguel Kolesiński, Artur Fegyó, Tibor Németh, Géza Csobanka, Petra Lan Hing Ting, Karine Hewson, David Microsoft Corporation Redmond, Wash. Department of Telecommunications and Media Informatics (BME-TMIT) Budapest University of Technology and Economics Budapest (BME) Bay Zoltán Nonprofit Ltd. for Applied Research TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs (Tech-CICO) Institut Charles Delaunay (ICD) Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Laboratoire Modélisation et Sûreté des Systèmes (LM2S) Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS) Reykjavik, Iceland 2014-05-26 https://utt.hal.science/hal-02896576 en eng HAL CCSD hal-02896576 https://utt.hal.science/hal-02896576 LREC 2014, Ninth International Conference on Language Resources and Evaluation https://utt.hal.science/hal-02896576 LREC 2014, Ninth International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland http://www.lrec-conf.org/proceedings/lrec2014/pdf/365_Paper.pdf automatic speech recognition corpus elderly speech [SPI]Engineering Sciences [physics] info:eu-repo/semantics/conferenceObject Conference papers 2014 ftunivtroyes 2024-04-26T01:38:21Z International audience Currently available speech recognisers do not usually work well with elderly speech. This is because several characteristics of speech (e.g. fundamental frequency, jitter, shimmer and harmonic noise ratio) change with age and because the acoustic models used by speech recognisers are typically trained with speech collected from younger adults only. To develop speech-driven applications capable of successfully recognising elderly speech, this type of speech data is needed for training acoustic models from scratch or for adapting acoustic models trained with younger adults' speech. However, the availability of suitable elderly speech corpora is still very limited. This paper describes an ongoing project to design, collect, transcribe and annotate large elderly speech corpora for four European languages: Portuguese, French, Hungarian and Polish. The Portuguese, French and Polish corpora contain read speech only, whereas the Hungarian corpus also contains spontaneous command and control type of speech. Depending on the language in question, the corpora contain 76 to 205 hours of speech collected from 328 to 986 speakers aged 60 and over. The final corpora will come with manually verified orthographic transcriptions, as well as annotations for filled pauses, noises and damaged words. Conference Object Iceland HAL des publications de l'Université de technologie de Troyes |
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Open Polar |
collection |
HAL des publications de l'Université de technologie de Troyes |
op_collection_id |
ftunivtroyes |
language |
English |
topic |
automatic speech recognition corpus elderly speech [SPI]Engineering Sciences [physics] |
spellingShingle |
automatic speech recognition corpus elderly speech [SPI]Engineering Sciences [physics] Hämäläinen, Annika Avelar, Jairo Rodrigues, Silvia Sales Dias, Miguel Kolesiński, Artur Fegyó, Tibor Németh, Géza Csobanka, Petra Lan Hing Ting, Karine Hewson, David The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech |
topic_facet |
automatic speech recognition corpus elderly speech [SPI]Engineering Sciences [physics] |
description |
International audience Currently available speech recognisers do not usually work well with elderly speech. This is because several characteristics of speech (e.g. fundamental frequency, jitter, shimmer and harmonic noise ratio) change with age and because the acoustic models used by speech recognisers are typically trained with speech collected from younger adults only. To develop speech-driven applications capable of successfully recognising elderly speech, this type of speech data is needed for training acoustic models from scratch or for adapting acoustic models trained with younger adults' speech. However, the availability of suitable elderly speech corpora is still very limited. This paper describes an ongoing project to design, collect, transcribe and annotate large elderly speech corpora for four European languages: Portuguese, French, Hungarian and Polish. The Portuguese, French and Polish corpora contain read speech only, whereas the Hungarian corpus also contains spontaneous command and control type of speech. Depending on the language in question, the corpora contain 76 to 205 hours of speech collected from 328 to 986 speakers aged 60 and over. The final corpora will come with manually verified orthographic transcriptions, as well as annotations for filled pauses, noises and damaged words. |
author2 |
Microsoft Corporation Redmond, Wash. Department of Telecommunications and Media Informatics (BME-TMIT) Budapest University of Technology and Economics Budapest (BME) Bay Zoltán Nonprofit Ltd. for Applied Research TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs (Tech-CICO) Institut Charles Delaunay (ICD) Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Laboratoire Modélisation et Sûreté des Systèmes (LM2S) Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS) |
format |
Conference Object |
author |
Hämäläinen, Annika Avelar, Jairo Rodrigues, Silvia Sales Dias, Miguel Kolesiński, Artur Fegyó, Tibor Németh, Géza Csobanka, Petra Lan Hing Ting, Karine Hewson, David |
author_facet |
Hämäläinen, Annika Avelar, Jairo Rodrigues, Silvia Sales Dias, Miguel Kolesiński, Artur Fegyó, Tibor Németh, Géza Csobanka, Petra Lan Hing Ting, Karine Hewson, David |
author_sort |
Hämäläinen, Annika |
title |
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech |
title_short |
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech |
title_full |
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech |
title_fullStr |
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech |
title_full_unstemmed |
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech |
title_sort |
easr corpora of european portuguese, french, hungarian and polish elderly speech |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://utt.hal.science/hal-02896576 |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
LREC 2014, Ninth International Conference on Language Resources and Evaluation https://utt.hal.science/hal-02896576 LREC 2014, Ninth International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland http://www.lrec-conf.org/proceedings/lrec2014/pdf/365_Paper.pdf |
op_relation |
hal-02896576 https://utt.hal.science/hal-02896576 |
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1799482542034780160 |