Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario
Open accessAbstract
In this article, we focus on keyword detection in children's speech as it is needed in voice command systems. We use the FAU Aibo Emotion Corpus which contains emotionally colored spontaneous children's speech recorded in a child-robot interaction scenario and investigate various recent keyword spotting techniques. As the principle of bidirectional Long Short-Term Memory (BLSTM) is known to be well-suited for context-sensitive phoneme prediction, we incorporate a BLSTM network into a Tandem model for flexible coarticulation modeling in children's speech. Our experiments reveal that the Tandem model prevails over a triphone-based Hidden Markov Model approach.
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Embodied interaction with rich materials could enrich children's non-verbal expression.
“Embodied interaction with rich materials could also enrich children's non-verbal expression.”
From "When He Feels Cold, He Goes to the Seahorse"—Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy (2024) · cites this paper as [119]
Materials serve as a medium for emotional expression for children who may not express their feelings through verbal communication.
“Materials serve as a medium for emotional expression for children who may not express their feelings through verbal communication [119].”
From "When He Feels Cold, He Goes to the Seahorse"—Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy (2024) · cites this paper as [119]
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- Authors
- Wöllmer, M., Schuller, B., Batliner, A., Steidl, S., & Seppi, D.
- Affiliations
- Technical University of Munich (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- KU Leuven (BE)
- Venue
- ACM Transactions on Speech and Language Processing
- Published
- 2011-08
- Volume
- 7
- Issue
- 4
- Pages
- 1-22
- ISSN
- 1550-4875 (ISSN-L)
- 1550-4883
- OpenAlex
- W2027991689
- Cited by
- 18
- References
- 85
- Citations by year
- 2024: 1 · 2022: 2 · 2021: 1 · 2020: 1 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 2 · 2013: 4 · 2012: 2
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- green
- mediatum.ub.tum.de
- Locations
- ACM Transactions on Speech and Language Processing (publishedVersion)
- Lirias (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- OPUS (Augsburg University) (submittedVersion)
- Funders
- Seventh Framework Programme (211486 (SEMAINE)IST-2002-50742 (HUMAINE)IST-2001-37599 (PF-STAR))
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- keyword spotting, children's speech, bidirectional LSTM, child-robot interaction, phoneme prediction
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