Streaming on-device detection of device directed speech from voice and touch-based invocation Article Swipe
Ognjen Rudovic
,
Akanksha Bindal
,
Vineet Garg
,
Pramod Simha
,
Pranay Dighe
,
Sachin Kajarekar
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2110.04656
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2110.04656
When interacting with smart devices such as mobile phones or wearables, the user typically invokes a virtual assistant (VA) by saying a keyword or by pressing a button on the device. However, in many cases, the VA can accidentally be invoked by the keyword-like speech or accidental button press, which may have implications on user experience and privacy. To this end, we propose an acoustic false-trigger-mitigation (FTM) approach for on-device device-directed speech detection that simultaneously handles the voice-trigger and touch-based invocation. To facilitate the model deployment on-device, we introduce a new streaming decision layer, derived using the notion of temporal convolutional networks (TCN) [1], known for their computational efficiency. To the best of our knowledge, this is the first approach that can detect device-directed speech from more than one invocation type in a streaming fashion. We compare this approach with streaming alternatives based on vanilla Average layer, and canonical LSTMs, and show: (i) that all the models show only a small degradation in accuracy compared with the invocation-specific models, and (ii) that the newly introduced streaming TCN consistently performs better or comparable with the alternatives, while mitigating device undirected speech faster in time, and with (relative) reduction in runtime peak-memory over the LSTM-based approach of 33% vs. 7%, when compared to a non-streaming counterpart.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2110.04656
- https://arxiv.org/pdf/2110.04656
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4286907583
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4286907583Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2110.04656Digital Object Identifier
- Title
-
Streaming on-device detection of device directed speech from voice and touch-based invocationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-09Full publication date if available
- Authors
-
Ognjen Rudovic, Akanksha Bindal, Vineet Garg, Pramod Simha, Pranay Dighe, Sachin KajarekarList of authors in order
- Landing page
-
https://arxiv.org/abs/2110.04656Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2110.04656Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2110.04656Direct OA link when available
- Concepts
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Computer science, Mobile device, Layer (electronics), Wearable computer, Software deployment, Invocation, Smart device, Speech recognition, Human–computer interaction, Embedded system, World Wide Web, Operating system, Sociology, Chemistry, Anthropology, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.models, | 168 |
| abstract_inverted_index.propose | 62 |
| abstract_inverted_index.runtime | 198 |
| abstract_inverted_index.vanilla | 144 |
| abstract_inverted_index.virtual | 16 |
| abstract_inverted_index.However, | 31 |
| abstract_inverted_index.accuracy | 163 |
| abstract_inverted_index.acoustic | 64 |
| abstract_inverted_index.approach | 67, 119, 138, 203 |
| abstract_inverted_index.compared | 164, 209 |
| abstract_inverted_index.decision | 92 |
| abstract_inverted_index.fashion. | 134 |
| abstract_inverted_index.networks | 101 |
| abstract_inverted_index.performs | 178 |
| abstract_inverted_index.pressing | 25 |
| abstract_inverted_index.privacy. | 57 |
| abstract_inverted_index.temporal | 99 |
| abstract_inverted_index.assistant | 17 |
| abstract_inverted_index.canonical | 148 |
| abstract_inverted_index.detection | 72 |
| abstract_inverted_index.introduce | 88 |
| abstract_inverted_index.on-device | 69 |
| abstract_inverted_index.reduction | 196 |
| abstract_inverted_index.streaming | 91, 133, 140, 175 |
| abstract_inverted_index.typically | 13 |
| abstract_inverted_index.(relative) | 195 |
| abstract_inverted_index.LSTM-based | 202 |
| abstract_inverted_index.accidental | 46 |
| abstract_inverted_index.comparable | 181 |
| abstract_inverted_index.deployment | 85 |
| abstract_inverted_index.experience | 55 |
| abstract_inverted_index.facilitate | 82 |
| abstract_inverted_index.introduced | 174 |
| abstract_inverted_index.invocation | 129 |
| abstract_inverted_index.knowledge, | 114 |
| abstract_inverted_index.mitigating | 186 |
| abstract_inverted_index.on-device, | 86 |
| abstract_inverted_index.undirected | 188 |
| abstract_inverted_index.wearables, | 10 |
| abstract_inverted_index.degradation | 161 |
| abstract_inverted_index.efficiency. | 108 |
| abstract_inverted_index.interacting | 1 |
| abstract_inverted_index.invocation. | 80 |
| abstract_inverted_index.peak-memory | 199 |
| abstract_inverted_index.touch-based | 79 |
| abstract_inverted_index.accidentally | 38 |
| abstract_inverted_index.alternatives | 141 |
| abstract_inverted_index.consistently | 177 |
| abstract_inverted_index.counterpart. | 213 |
| abstract_inverted_index.implications | 52 |
| abstract_inverted_index.keyword-like | 43 |
| abstract_inverted_index.alternatives, | 184 |
| abstract_inverted_index.computational | 107 |
| abstract_inverted_index.convolutional | 100 |
| abstract_inverted_index.non-streaming | 212 |
| abstract_inverted_index.voice-trigger | 77 |
| abstract_inverted_index.simultaneously | 74 |
| abstract_inverted_index.device-directed | 70, 123 |
| abstract_inverted_index.invocation-specific | 167 |
| abstract_inverted_index.false-trigger-mitigation | 65 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile |