The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Convolutional neural networks for small-footprint keyword spotting
Abstract
We explore using Convolutional Neural Networks (CNNs) for a small-footprint keyword spotting (KWS) task. CNNs are attractive for KWS since they have been shown to outperform DNNs with far fewer parameters. We consider two different applications in our work, one where we limit the number of multiplications of the KWS system, and another where we limit the number of parameters. We present new CNN architectures to address the constraints of each applications. We find that the CNN architectures offer between a 27-44% relative improvement in false reject rate compared to a DNN, while fitting into the constraints of each application.
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Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
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Self-citationLearning methods for generic object recognition with invariance to pose and lighting
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Deep convolutional neural networks for LVCSR
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Self-citationApplying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
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Small-footprint keyword spotting using deep neural networks
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Self-citationDeep Convolutional Neural Networks for Large-scale Speech Tasks
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Self-citation“Your Word is my Command”: Google Search by Voice: A Case Study
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Domain Generalization: A Survey
Zhou, K., Liu, Z., Qiao, Y., Xiang, T., & Loy, C. C. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3195549 · Cited by 1,315
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
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Streaming End-to-end Speech Recognition for Mobile Devices
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Self-citationHello Edge: Keyword Spotting on Microcontrollers
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Saha, S. S., Sandha, S. S., & Srivastava, M. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3210773 · Cited by 253
Metadata
- Authors
- Sainath, T. N., & Parada, C.
- Venue
- Interspeech 2015
- Publisher
- ISCA
- Published
- 2015-09-06
- Pages
- 1478-1482
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W2407023693
- Cited by
- 521
- References
- 12
- FWCI
- 14.39
- Type
- conference paper
- Language
- en
- Open access
- closed
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