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Hearing at Home: Communication support in home environments for hearing impaired persons
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Speech Technology, CTT. KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0003-1399-6604
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Speech Technology, CTT. KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Speech Technology, CTT.
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Speech Technology, CTT. KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
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2008 (English)In: INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, BAIXAS: ISCA-INST SPEECH COMMUNICATION ASSOC , 2008, 2203-2206 p.Conference paper, Published paper (Refereed)
Abstract [en]

The Hearing at Home (HaH) project focuses on the needs of hearing-impaired people in home environments. The project is researching and developing an innovative media-center solution for hearing support, with several integrated features that support perception of speech and audio, such as individual loudness amplification, noise reduction, audio classification and event detection, and the possibility to display an animated talking head providing real-time speechreading support. In this paper we provide a brief project overview and then describe some recent results related to the audio classifier and the talking head. As the talking head expects clean speech input, an audio classifier has been developed for the task of classifying audio signals as clean speech, speech in noise or other. The mean accuracy of the classifier was 82%. The talking head (based on technology from the SynFace project) has been adapted for German, and a small speech-in-noise intelligibility experiment was conducted where sentence recognition rates increased from 3% to 17% when the talking head was present.

Place, publisher, year, edition, pages
BAIXAS: ISCA-INST SPEECH COMMUNICATION ASSOC , 2008. 2203-2206 p.
Keyword [en]
Sound classification, speech processing, hearing impairment, communication support, talking heads, speechreading
National Category
Computer and Information Science Communication Studies
Identifiers
URN: urn:nbn:se:kth:diva-29855ISI: 000277026101126Scopus ID: 2-s2.0-84867210638ISBN: 978-1-61567-378-0 (print)OAI: oai:DiVA.org:kth-29855DiVA: diva2:399565
Conference
9th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2008), Brisbane, AUSTRALIA, SEP 22-26, 2008
Note
QC 20110222Available from: 2011-02-22 Created: 2011-02-17 Last updated: 2012-03-20Bibliographically approved

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Beskow, JonasSalvi, Giampiero

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Beskow, JonasGranström, BjörnNordqvist, PeterAl Moubayed, SamerSalvi, Giampiero
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Centre for Speech Technology, CTTSpeech Communication and Technology
Computer and Information ScienceCommunication Studies

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